diff --git a/project/15_fake_news_detection.csv b/project/15_fake_news_detection.csv
new file mode 100644
index 00000000..5ed5d5a2
--- /dev/null
+++ b/project/15_fake_news_detection.csv
@@ -0,0 +1,1001 @@
+title,text,label
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake
diff --git a/project/15_fake_news_detection.ipynb b/project/15_fake_news_detection.ipynb
new file mode 100644
index 00000000..dec37f57
--- /dev/null
+++ b/project/15_fake_news_detection.ipynb
@@ -0,0 +1,1992 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "bdf9f4ff-423b-425b-ad11-5d50b3e83bf9",
+   "metadata": {},
+   "source": [
+    "# Задача 10. Сравнение методов классификации"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8993b83b-bc9f-4219-89f6-c1a24523b256",
+   "metadata": {},
+   "source": [
+    "Импорт необходимых библиотек"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "33754548-d468-4d0b-afd9-71217dd0e2ec",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.model_selection import train_test_split, GridSearchCV\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.svm import SVC\n",
+    "from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier\n",
+    "from sklearn.metrics import accuracy_score, classification_report"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7d299573-e193-4c0c-b8bf-e31437aba2a3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8f22f44e-53f2-4fec-964e-51b1d96414a5",
+   "metadata": {},
+   "source": [
+    "Настройка отображения"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "f5162aca-4568-4dce-aae0-5b29291d41cd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "plt.style.use('ggplot')\n",
+    "pd.set_option('display.max_colwidth', 200)\n",
+    "pd.set_option('display.max_rows', 100)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f9530f62-9133-48e6-b6de-6de156ac23fb",
+   "metadata": {},
+   "source": [
+    "## 1. Загрузка данных"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "7efc8f03-b42a-4fa7-a306-75431f93a748",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Данные успешно загружены\n"
+     ]
+    }
+   ],
+   "source": [
+    "try:\n",
+    "    df = pd.read_csv('15_fake_news_detection.csv')\n",
+    "    print(\"Данные успешно загружены\")\n",
+    "except FileNotFoundError:\n",
+    "    print(\"Файл не найден. Проверьте путь к файлу.\")\n",
+    "    exit()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9c226f84-f65b-48a5-b37c-92967fd472f8",
+   "metadata": {},
+   "source": [
+    "## 2. Первичный осмотр данных"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "f5c70ad2-5459-4f02-8cda-cbe890afe6df",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "=== Первичный осмотр данных ===\n",
+      "\n",
+      "Первые 5 строк данных:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>title</th>\n",
+       "      <th>text</th>\n",
+       "      <th>label</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Government Announces New Education Reforms</td>\n",
+       "      <td>The education ministry has proposed reforms to modernize the curriculum.</td>\n",
+       "      <td>real</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Economy Shows Signs of Recovery</td>\n",
+       "      <td>The new study conducted by international researchers shows walking improves heart health.</td>\n",
+       "      <td>real</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Aliens Land in Central Park</td>\n",
+       "      <td>Sources claim that extraterrestrial beings were seen stepping out of a spaceship.</td>\n",
+       "      <td>fake</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Aliens Land in Central Park</td>\n",
+       "      <td>The celebrity stated that secret documents reveal shocking information about the president.</td>\n",
+       "      <td>fake</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>New Study Reveals Health Benefits of Walking</td>\n",
+       "      <td>The education ministry has proposed reforms to modernize the curriculum.</td>\n",
+       "      <td>real</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                          title  \\\n",
+       "0    Government Announces New Education Reforms   \n",
+       "1               Economy Shows Signs of Recovery   \n",
+       "2                   Aliens Land in Central Park   \n",
+       "3                   Aliens Land in Central Park   \n",
+       "4  New Study Reveals Health Benefits of Walking   \n",
+       "\n",
+       "                                                                                          text  \\\n",
+       "0                     The education ministry has proposed reforms to modernize the curriculum.   \n",
+       "1    The new study conducted by international researchers shows walking improves heart health.   \n",
+       "2            Sources claim that extraterrestrial beings were seen stepping out of a spaceship.   \n",
+       "3  The celebrity stated that secret documents reveal shocking information about the president.   \n",
+       "4                     The education ministry has proposed reforms to modernize the curriculum.   \n",
+       "\n",
+       "  label  \n",
+       "0  real  \n",
+       "1  real  \n",
+       "2  fake  \n",
+       "3  fake  \n",
+       "4  real  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Информация о структуре данных:\n",
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 1000 entries, 0 to 999\n",
+      "Data columns (total 3 columns):\n",
+      " #   Column  Non-Null Count  Dtype \n",
+      "---  ------  --------------  ----- \n",
+      " 0   title   1000 non-null   object\n",
+      " 1   text    1000 non-null   object\n",
+      " 2   label   1000 non-null   object\n",
+      "dtypes: object(3)\n",
+      "memory usage: 23.6+ KB\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "None"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Основные статистики:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>title</th>\n",
+       "      <th>text</th>\n",
+       "      <th>label</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1000</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>1000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>Economy Shows Signs of Recovery</td>\n",
+       "      <td>Recent economic data shows that the GDP is steadily growing over the last two quarters.</td>\n",
+       "      <td>real</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>213</td>\n",
+       "      <td>183</td>\n",
+       "      <td>532</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                  title  \\\n",
+       "count                              1000   \n",
+       "unique                                6   \n",
+       "top     Economy Shows Signs of Recovery   \n",
+       "freq                                213   \n",
+       "\n",
+       "                                                                                           text  \\\n",
+       "count                                                                                      1000   \n",
+       "unique                                                                                        6   \n",
+       "top     Recent economic data shows that the GDP is steadily growing over the last two quarters.   \n",
+       "freq                                                                                        183   \n",
+       "\n",
+       "       label  \n",
+       "count   1000  \n",
+       "unique     2  \n",
+       "top     real  \n",
+       "freq     532  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "print(\"\\n=== Первичный осмотр данных ===\")\n",
+    "print(\"\\nПервые 5 строк данных:\")\n",
+    "display(df.head())\n",
+    "\n",
+    "print(\"\\nИнформация о структуре данных:\")\n",
+    "display(df.info())\n",
+    "\n",
+    "print(\"\\nОсновные статистики:\")\n",
+    "display(df.describe(include='object'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4018d0dd-67ca-47a5-a4ae-070ab82fdc45",
+   "metadata": {},
+   "source": [
+    "## 3. Анализ распределения меток"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "a286581e-2b2b-4ba8-93f7-438844634fa5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "=== Анализ распределения меток ===\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Количество записей по категориям:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "label\n",
+       "real    532\n",
+       "fake    468\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "print(\"\\n=== Анализ распределения меток ===\")\n",
+    "plt.figure(figsize=(8, 5))\n",
+    "\n",
+    "# Исправленная версия с учетом нового синтаксиса seaborn\n",
+    "sns.countplot(data=df, x='label', hue='label', palette='viridis', legend=False)\n",
+    "\n",
+    "plt.title('Распределение реальных и фейковых новостей')\n",
+    "plt.xlabel('Категория новости')\n",
+    "plt.ylabel('Количество записей')\n",
+    "plt.show()\n",
+    "\n",
+    "label_counts = df['label'].value_counts()\n",
+    "print(\"\\nКоличество записей по категориям:\")\n",
+    "display(label_counts)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "36d16d8a-705a-49d2-94cc-e91eb9d88e56",
+   "metadata": {},
+   "source": [
+    "## 4. Проверка на пропущенные значения"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "eeb0e8eb-04f1-4c95-8a46-889c74cb0a9a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "=== Проверка на пропущенные значения ===\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "title    0\n",
+       "text     0\n",
+       "label    0\n",
+       "dtype: int64"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Пропущенных значений не обнаружено.\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"\\n=== Проверка на пропущенные значения ===\")\n",
+    "missing_values = df.isnull().sum()\n",
+    "display(missing_values)\n",
+    "\n",
+    "if missing_values.sum() > 0:\n",
+    "    print(\"\\nОбнаружены пропущенные значения. Заполняем пустыми строками.\")\n",
+    "    df.fillna('', inplace=True)\n",
+    "else:\n",
+    "    print(\"\\nПропущенных значений не обнаружено.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6edcf3a2-f622-4b27-a8cc-384160266db5",
+   "metadata": {},
+   "source": [
+    "## 5. Анализ длины текстов"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "8419c8a8-8d94-4815-970d-05575ffb6757",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "=== Анализ длины текстов ===\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Статистика длины текста:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>count</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>std</th>\n",
+       "      <th>min</th>\n",
+       "      <th>25%</th>\n",
+       "      <th>50%</th>\n",
+       "      <th>75%</th>\n",
+       "      <th>max</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>label</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>fake</th>\n",
+       "      <td>9.0</td>\n",
+       "      <td>13.333333</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>16.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>real</th>\n",
+       "      <td>9.0</td>\n",
+       "      <td>12.333333</td>\n",
+       "      <td>2.179449</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>15.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       count       mean       std   min   25%   50%   75%   max\n",
+       "label                                                          \n",
+       "fake     9.0  13.333333  2.000000  12.0  12.0  12.0  16.0  16.0\n",
+       "real     9.0  12.333333  2.179449  10.0  10.0  12.0  15.0  15.0"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "print(\"\\n=== Анализ длины текстов ===\")\n",
+    "\n",
+    "# Создаем копию DataFrame для безопасного изменения\n",
+    "df_analysis = df_clean.copy()\n",
+    "\n",
+    "# Правильное создание нового столбца\n",
+    "df_analysis.loc[:, 'text_length'] = df_analysis['text'].apply(lambda x: len(str(x).split()))\n",
+    "\n",
+    "# Построение boxplot с учетом новых требований seaborn\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "sns.boxplot(\n",
+    "    data=df_analysis, \n",
+    "    x='label', \n",
+    "    y='text_length', \n",
+    "    hue='label',  # Добавлено для нового синтаксиса\n",
+    "    palette='Set2',\n",
+    "    legend=False  # Отключаем легенду, так как она избыточна\n",
+    ")\n",
+    "plt.title('Распределение длины текста по категориям')\n",
+    "plt.ylabel('Количество слов')\n",
+    "plt.xlabel('Категория')\n",
+    "plt.show()\n",
+    "\n",
+    "# Статистика длины текста\n",
+    "print(\"\\nСтатистика длины текста:\")\n",
+    "display(df_analysis.groupby('label')['text_length'].describe())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bb5484fd-c283-4580-bfbc-7173c96ea60f",
+   "metadata": {},
+   "source": [
+    "## 6. Анализ заголовков"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "f14db05a-e19d-41a8-b4dc-aa94cbae5b04",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "=== АНАЛИЗ ЗАГОЛОВКОВ ===\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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XWWjMmDGy2WyaNWuW23tBC7d/+/btbtezd+9eZ21XBv/ilGX/X660+9Odd999V999952mT5+u+vXrl9h25syZxV5eXpw5c+Y47yO22+26+eab1atXrzJv45WioqJ04MABSZd+p7t166bZs2e7tMnJydGsWbO0ZMkS7d27V2fPnnXpRPPy3+Wy2Lp1qyQpLi6uyLTg4GC1bt1a33zzjfbs2aPY2FiX6YV9GVzPdRS+H/Pz85WSkqJPP/1Ud999twYPHux2XdOnT3eGskmTJslms5WpnsLx69ev1w8//KDbb7/dZVrhe8AwDB09elSLFi1SkyZN9Pzzz5ewB65NSfVGR0crPDxchw4dUnZ2toKCgkq1zF27dmnatGnKyMjQk08+qWbNmhXbdsOGDZo1a5Y2btyoU6dO6ddff3WZfuzYMd18881l2KL/s3HjRtlsNn388cf6+OOPi0z/9ddflZaWptOnT6tWrVqlXu7Zs2e1f/9+3XTTTW6/sCjclz/88EORaW3atFGNGjWKjO/evbvef/99/fDDDxo+fLjb9aanp2vChAlq0aKFnnzySS1btqxIm5iYGAUGBmrVqlX6z3/+o0GDBpX6s+jJJ5/U+++/r+TkZA0dOlSbNm3S5s2blZycrJ07d5ZqGQDKjmAP4Lq5/A/64hw8eFDt27dXZmamunbtqp49eyooKEheXl7O+2AvP0NW2EnRTTfddL3KdqpTp47b8XXr1tXPP/+s7Oxs5z3Hktz+wXe5c+fOFRlXeBYpLCzsqvUUrmfVqlVatWpVmdaTnp4u6dJZoNKsY/PmzSV2+uduHevWrSv2vsurmTt3rr755hu99NJLxXYaWFjbv//97xKX5a624pRl/18uPT1dPj4+ZQ7dGRkZeu6559S0aVM9/fTTVw26JfUBURx3944HBwfrrbfeKnKlR1k89dRTSk9P17Fjx7Rq1SpFRka6fLGRl5enuLg4ff/992revLmGDBmi2rVrO0PrtGnTytSB2uUKO64rLqAXjr+yE7OcnBzl5uZe9X1/LeuQivatEBoaqttuu63IWXjpUiebzz33nDp16qTNmzfrkUce0ffff1/kqpFrqefK94CPj486d+5c5vdrWZSm3iNHjigrK6vUwX7s2LEKDAxUy5Ytne/fTp06FWm3ZMkS3XffffL19dVdd92lRo0aKSAgQFar1Xk/uKfvPenSZ09+fv5V+9A4d+5cmYL9tfyMSzo+Xb5sd5599lllZmZq2bJlbt+jklS9enXNnz9fw4cP16OPPqpHH3202OVdqW3bturYsaNmz56toUOH6h//+IezU0mCPXD9EOwBVKgZM2bo9OnTeu+994r00r1gwYIif6AW/mHq6Zm/sjh58qSaNGlSZHxhh2eFf5wW/r9s2TLdc889ZVrH1q1bZbFY1Lhx46u2LVzPrFmz9NRTT5VpPfv375efn1+xfwxeuY6nn35aM2bMKNM6pkyZ4vZM+ogRI9yGzUJZWVkaN26coqOjNW7cuKvWtn37drVs2bJMtRWn8CxjdHR0mebbv3+/R49rfP7555Wenq6kpCS3Z2mvdOjQIbfrcXe5e6E1a9Y4OzzLyMhQcnKynnjiCT3yyCPODsQ8cfl77uTJk2rVqpV+/PFH51U0y5Yt0/fff68RI0bovffec5n3xIkTZepY8EqFP/vU1FS3Z21PnDjh0q5QYc/pkZGR120d0v99ielwOHTs2DHNmDFDU6ZMUWpqqt566y2XtgUFBYqLi9Nnn32mmTNnasKECXrhhRf06quvFluPOyXVc+V7YMmSJUpISNDmzZu1devWYsPctbi8Xne3V5VUb3GqV6+ulStXym63q3Xr1vr973+v7du3q3r16i7tJk2aJB8fH23ZskVNmzZ1mTZq1CiPv3AsFBQUJIfD4bzCp7xcy8/45MmTbue58vh0pe+++05z5szRQw89pC5dupRYX9++fXXkyBG1a9dOe/bs0Z/+9CcFBASU2HleoSeffFLx8fH64osv9PHHH2vy5MluO84EUH64xx5AhSr8w3vQoEFFprn7w6HwMUErV66Uw+G4rrW5W//Bgwf1yy+/qEGDBs4vGQpr+vbbb8u0/NTUVO3YsUMtWrQo1Zk0T9dz9uxZ7d69W61bt77qH1bt27eX1Wot8zquxQsvvKBTp05p9uzZJd7r7un2l+TLL7+U1WpV586dSz3Pnj17lJWVpVtvvbVM6/r+++/1zjvvKD4+XnfccUdZS/VIzZo19dhjj6l37966cOGCdu3aVS7LrVOnjm677TZt2rTJeTVI4e/yvffeW6T9tQar1q1bS5LbR2RlZWVp27Zt8vX1LRLqCm/fKM3PytN1XM5qtap+/fr629/+pqCgILd9UYSEhOjTTz+Vn5+fxo8fry5duuiNN94oso9Kqke6FN4lXfUpEDVr1tQf/vAH9e7dWzt37rxuZ0xLqnf//v06evSoIiMjy3TVwL/+9S+1a9dOjRs31owZM3Tw4EH98Y9/dLv8W265pcjPxuFwlKoPgqu57bbblJmZqd27d1/zsi5Xo0YNNWrUSMeOHXP7+MKSfsZbt27V2bNni4wv3P+FP4/LFRQUKCEhQUFBQUW+SCrOu+++q5SUFI0fP16vvfaapk6d6vZJCVe67777VK9ePT3wwAOyWCx67LHHSrU+AJ4j2AOoUIVnI909L9hdh0Ft27ZVp06dtG3bNk2fPr3I9NOnT7t9XrYnZs2apZ9//tk57HA4NG7cODkcDj388MPO8f3791ejRo305ptvavny5W6XtXHjRmdnRIVeffVVFRQUFOkYqzi33nqrunbtqsWLF7t03ne5nTt36tSpUy7jXnrpJeXl5en++++/6jpCQ0P14IMPasuWLXrxxRfdPpbowIEDOnToUKlqvprt27fr//2//6f7779fd911V4ltH374YWcngd9//32R6Q6Ho0zPRv7kk0+0e/du9erVy23HW+44HA795S9/kaRS7c/LJSQkqHr16nr99dfLNN+1ys/Pd/68goODyzx/Yd8Nlztw4IC++eYb+fr6Os+eFve7fPDgQbcdXZbFsGHDZLPZ9I9//MPl+eXSpbO1Z86c0bBhw1w6+crIyNCsWbPk4+NTqitpPFlHcQ4cOOA2dElSQECAs78Dq9WquXPnKiAgQA899JDL5dOdO3dWkyZNtH79eiUnJ7ssIzk5Wd9++62io6OvetZVknJzc/XTTz9JKvlqj2vxyCOPSLr0eXP5e6agoEDPPPOMHA6H/vCHP5RpmZffQvHYY4+pX79+evfdd7V06VKXdg0aNNC+fft0/Phx5zjDMDR16tQydaZZnMLOH0eOHOmyjkI5OTnOK1fK6pFHHpFhGBo3bpzL5216errzUa+F+/Zy2dnZzs+iQlu2bNGHH36ooKAgDRw4sMg8/+///T9t375diYmJpbo9ZefOnRo3bpw6dOhQZF1XY7PZNHbsWFWvXl1/+MMfVLt27TLND6DsuBQfQIVKSEjQe++9p/vvv1/33XefwsLCtGvXLn3xxRcaPHiwFi5cWGSeefPmqXv37powYYIWLVqk7t27yzAM7du3T19++aX27Nnj0WXSV+rcubNatWqlIUOGKCgoSCtXrtT27dvVtm1blx7jbTabFi9erF69eqlv377q1KmTWrVqJX9/f/3yyy/avHmzDh48qBMnTsjf39/5XOLCe/JPnDhR5BL2wnsqp06dqgEDBjifcT9//nzFxcXpD3/4g/7+97+rQ4cOstvtOnr0qHbs2KFdu3Zp48aNCg0N1cqVK/XCCy9oy5YtateunUaPHl2q7Z49e7b27dunyZMn64MPPlCXLl1Up04dHT9+XD/++KM2b96sBQsWlOry5qvZtm2bqlevrr/97W9XbVurVi0lJydr4MCBuu2223TnnXeqWbNmslgs+uWXX7Rx48ZSfbGTlZWlyZMnO+/Vr1atWpH9X9jh38yZM9W9e3cNGDBAH374oRITE/Xjjz+qf//+Ls+9L43//e9/mjlzZqk6crsWn3zyifbs2SPpUrhdtmyZdu3apS5duqhZs2Y6fPhwmZZ30003KS4uTlFRUapevboOHTqkTz75RLm5uZo0aZLzPvvf/e53ioqK0owZM7Rz5061bt1aR44c0Weffea8pNdTDRo00MyZMzVmzBi1adNGgwcPVu3atbVu3Tpt3LhRMTExLl/0Pf/883rnnXeUnp6uGTNmXPUWFE/WcbnC94/D4dDx48e1ZMkSORwOPf7441ddb2RkpP7+97/r4Ycf1hNPPKEPPvhA0qUA/v777+uuu+7SkCFD1L9/f8XExOinn37S0qVLVaNGDc2dO9dtJ6KFnedJUmZmplasWKF9+/apY8eORTr+Ky+dOnXSs88+q1dffVXNmzfXfffdp4CAAK1YscL5/ivpVpvS+M9//qMWLVpo5MiRuu2225z3kz/99NN6/PHH1bp1aw0aNEg2m00bNmxQSkqKfve73+nTTz+9pvXeeeed+utf/6rnn39ejRs3Vp8+fRQZGalz587p559/1rp169SlSxd98cUXZV72M888oxUrVmjZsmWKjY1Vnz59dP78eX388cc6deqUnn32Wbdf3tx+++165513tGnTJnXu3Nn5HHuHw6G3335bgYGBReb53//+p7Zt25bqfXnhwgUNHTpUNptN8+fP9+j2jWeffbbI01UAXEcV9Jg9AFWYinmOfXE2bNhg3HHHHYbdbjeqV69udO7c2ViyZEmJz1JOT083nn32WSM6OtqoVq2aERQUZMTGxhoTJkwwcnJynO2u5Tn2Bw4cMF5//XWjSZMmRrVq1YywsDDjj3/8o8vzgS938uRJY/z48UazZs0MPz8/IyAgwIiKijIGDRpkfPDBB85nFBc+U7i0/y5/9rBhGMaZM2eMxMREo02bNkZAQIDh6+trNGjQwOjTp4/x9ttvG+fOnTMMwzASExON2NhYIzEx0Th//rzbmot71vLFixeNf/zjH0bHjh2NwMBAw8fHx6hfv74RFxdn/O1vfzPS09Odba/lOfaSjFdffbXIPCU93/zQoUPGmDFjjKioKKNatWrO5zAPGzbMWLJkidsarpy/LPu/8P0xevRoo3379sbs2bON/Px8t8tWCc+xb9myZZH5rvYe9OQ59pf/CwwMNFq0aGG8+OKLzvdtWZ9jP2bMGKNly5ZGYGCg4eXlZYSEhBg9evQo8kx6wzCMI0eOGPHx8UZYWJjh6+tr3HLLLcb06dONvLy8Emsu7TOtV65cadx1112G3W43fHx8jEaNGhnjxo0r8mzx1q1bG7179zaWL1/udjklvWdLuw7D+L+fbeE/i8Vi1K5d2+jcubMxZ84cw+FwuLQv6dnmhc/3Xrhwocv4PXv2GMOGDTPq1q1reHt7G3Xr1jUefPBBY8+ePUWWUdr3wNV48jtdaMGCBUbnzp2N6tWrG9WqVTNuueUW46WXXjIuXLhQqnVfvh3u3heffPKJ83npl3vvvfeM2NhYw9/f36hVq5YxYMAAY8eOHaV6j5X2mfPffvutcf/99xv16tUzbDabERISYsTGxhpPP/20sXnzZo+WaRiGceHCBSMxMdFo1qyZ4evr6zwOzp8/v0jby39/U1JSjHvuucew2+2Gn5+f0alTJ+OLL74oMk/hMcdisRj//e9/i0x3d5x8/PHHDUnGBx98UKR9Sc+xv9rnSll/5wGUnsUwStFtNQD8hhR29lZcx2XXas6cOXr44YdL9dQAi8XitmNBeO7w4cOKjIx06WCsON27d1eDBg3cPn4PAG60ws+v4cOH87kEwAX32AMAAAAAYGLcYw8AN1irVq00ZcqUUrWdMmWK8/56lA+73a4pU6aU6mqMESNGXNdnfwMAAJQHgj0A3GCtWrUqdVh391x4XBu73V7q/cotEAAAwAy4xx4AAAAAABPjHnsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkav+GWQmZmp/Pz8ii4DAAAAAFDFeXt7Kzg4uHRtr3MtVUp+fr7y8vIqugwAAAAAAJy4FB8AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAmRrAHAAAAAMDECPYAAAAAAJgYwR4AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAm5l3RBVxuzJgxSktLKzK+Z8+eevTRR93Os3HjRi1cuFBpaWmqW7euHnzwQbVp08Y53TAMJSUlafXq1crJyVFMTIweffRR1atX77ptBwAAAAAAN4rFMAyjoosodObMGTkcDufwkSNH9NJLL2nKlClq1qxZkfY//fSTpkyZovj4eLVp00br16/XsmXLNH36dN18882SpKVLl2rp0qUaM2aMQkNDtXDhQh05ckQzZsyQj49PmepLS0tTXl7etW0kAAAAAABXYbPZVLt27VK1rVSX4gcGBsputzv/bd26VXXq1NEtt9zitv3y5cvVqlUr3XPPPQoPD9cDDzyghg0b6osvvpB06Wz98uXLde+996pdu3aKiIjQE088oczMTG3evPlGbhoAAAAAANdFpboU/3L5+fn69ttv1bdvX1ksFrdt9u7dq379+rmMi42NdYb2U6dOKSsrSy1btnRO9/f3V1RUlPbu3avOnTu7XW5eXp7LmXmLxSI/Pz/na7M5c+aMLly4UNFl/Gbk5+crOzu7ossAboigoCB5e1faQ0mV4+fnp8DAwIou4zeFY+iNxTEUvyUcQ2+sqn4MrbTvpO+//145OTnq3r17sW2ysrIUFBTkMi4oKEhZWVnO6YXjimvjzpIlS5ScnOwcjoyM1PTp00t9GURlkpmZqb///e/cQgAAVYDNZtOzzz6r4ODgii7lN+HSMXSW8vLyK7oUAMA1stm89eyz46vsMbTSBvs1a9aoVatWqlmz5g1f98CBA12uBCg8S5+Wlqb8fHMd3E+ePKm8vDxFdegnv8BaFV3Ob4KjIF8XczjbgN+GagFBsnpV2kNJlXLhzGnt3/SZfv75Z+Xm5lZ0Ob8Jl46h+erfrJZCAmwVXc5vQn6Boaxcc/2tBXjK7ustby/zXQ1sRuk5eVq2+7TpjqHe3t6lPrlcKf8aS0tL044dO/TMM8+U2M5utxe5XCs7O1t2u905vXDc5d/MZGdnq0GDBsUu12azyWZzfwCvRH0NlkphvX6BtRQQXLeCq/ntqBESXtElAKiiDMMw3bHIrAr3c0iATfUCq1VwNb8d9Su6AABVVlU+hlaqzvMKrVmzRkFBQS6PrXMnOjpaO3fudBm3Y8cONW7cWJIUGhoqu93u0ub8+fPav3+/oqOjy79wAAAAAABusEoX7B0Oh9auXatu3brJy8vLZdrs2bM1f/5853CfPn20fft2ffrppzp27JiSkpJ04MAB9e7dW9KlS+j79OmjxYsXa8uWLTpy5Ihmz56t4OBgtWvX7oZuFwAAAAAA10OluxR/586dSk9P1x133FFkWnp6ukuv9E2aNNFTTz2ljz76SAsWLFC9evU0btw45zPsJal///66ePGi3n77bZ0/f14xMTGaMGFCmZ9hDwAAAABAZVTpgn1sbKySkpLcTps6dWqRcR07dlTHjh2LXZ7FYtGQIUM0ZMiQ8ioRAAAAAIBKo9Jdig8AAAAAAEqPYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEzMu6ILuFJGRobmzZunbdu26eLFi6pbt64SEhLUqFEjt+3ffPNNrVu3rsj48PBwzZgxQ5KUlJSk5ORkl+lhYWGaOXNmudcPAAAAAMCNVKmC/blz5zRp0iQ1a9ZMEyZMUGBgoE6cOKGAgIBi53n44Yf14IMPOocLCgo0btw43XbbbS7t6tevr0mTJjmHrVYuVgAAAAAAmF+lCvbLli1TrVq1lJCQ4BwXGhpa4jz+/v7y9/d3Dn///ffKycnRHXfc4dLOarXKbreXa70AAAAAAFS0ShXst2zZotjYWM2YMUMpKSmqWbOmevbsqR49epR6GV9//bVatGih2rVru4xPTU3VqFGjZLPZFB0drfj4eIWEhLhdRl5envLy8pzDFotFfn5+ztdmYrZ6AQAls1gsfLbfIOxnAKhaqvIxtFIF+1OnTmnVqlXq27evBg4cqAMHDui9996Tt7e3unfvftX5MzIytG3bNj311FMu4xs3bqyEhASFhYUpMzNTycnJmjx5st544w1nYL/ckiVLXO7Jj4yM1PTp04t8WWAGBQUFFV0CAKAchYSEqF69ehVdxm8Cx1AAqFqq8jG0UgV7h8OhRo0aKT4+XtKlQH3kyBGtWrWqVMF+3bp1CggIUPv27V3Gt27d2vk6IiLCGfQ3btyouLi4IssZOHCg+vXr5xwu/FYnLS1N+fn5nmxahUlPT6/oEgAA5Sg9PV1eXl4VXcZvAsdQAKhazHYM9fb2LvXJ5UoV7IODgxUeHu4yLjw8XJs2bbrqvIZhaM2aNeratau8vUverICAAIWFhSk1NdXtdJvNJpvNVux6zMRs9QIASmYYBp/tNwj7GQCqlqp8DK1UXcM3adJEx48fdxl3/PjxUn1LkZKSotTUVLdn4K+Um5ur1NRUOtMDAAAAAJhepQr2ffv21b59+7R48WKlpqZq/fr1Wr16tXr16uVsM3/+fM2ePbvIvF9//bUaN26sm2++uci0uXPnKiUlRadOndJPP/2k1157TVarVV26dLmu2wMAAAAAwPVWqS7Fj4qK0jPPPKP58+dr0aJFCg0N1fDhw9W1a1dnm8zMzCL3vJ0/f16bNm3SiBEj3C43IyNDs2bN0tmzZxUYGKiYmBglJiYqMDDwem4OAAAAAADXXaUK9pLUtm1btW3bttjpY8aMKTLO399f8+bNK3aesWPHlkdpAAAAAABUOpXqUnwAAAAAAFA2BHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEzMu6ILuFJGRobmzZunbdu26eLFi6pbt64SEhLUqFEjt+13796tadOmFRn/r3/9S3a73Tn8xRdf6NNPP1VWVpYiIiL0yCOPKCoq6nptBgAAAAAAN0SlCvbnzp3TpEmT1KxZM02YMEGBgYE6ceKEAgICrjrvzJkz5e/v7xwODAx0vv7uu+80d+5cjRw5Uo0bN9bnn3+uxMREzZw5U0FBQddlWwAAAAAAuBEqVbBftmyZatWqpYSEBOe40NDQUs0bFBRU7BcAn332me68807dcccdkqSRI0dq69atWrNmjQYMGHDNdQMAAAAAUFEqVbDfsmWLYmNjNWPGDKWkpKhmzZrq2bOnevTocdV5n332WeXl5al+/fq6//77FRMTI0nKz8/XwYMHXQK81WpVixYttHfvXrfLysvLU15ennPYYrHIz8/P+dpMzFYvAKBkFouFz/YbhP0MAFVLVT6GVqpgf+rUKa1atUp9+/bVwIEDdeDAAb333nvy9vZW9+7d3c4THByskSNHqlGjRsrLy9Pq1as1bdo0JSYmqmHDhjpz5owcDofL/faSZLfbdfz4cbfLXLJkiZKTk53DkZGRmj59umrXrl1em3rDFBQUVHQJAIByFBISonr16lV0Gb8JHEMBoGqpysfQShXsHQ6HGjVqpPj4eEmXAvWRI0e0atWqYoN9WFiYwsLCnMNNmjTRyZMn9fnnn+vJJ5/0qI6BAweqX79+zuHCb3XS0tKUn5/v0TIrSnp6ekWXAAAoR+np6fLy8qroMn4TOIYCQNVitmOot7d3qU8uV6pgHxwcrPDwcJdx4eHh2rRpU5mWExUVpT179ki61Ime1WpVVlaWS5usrKwiZ/EL2Ww22Ww2t9MMwyhTLRXNbPUCAEpmGAaf7TcI+xkAqpaqfAytVM+xb9KkSZHL448fP17mS+APHz6s4OBgSZe+5WjYsKF27drlnO5wOLRr1y5FR0dfe9EAAAAAAFSgShXs+/btq3379mnx4sVKTU3V+vXrtXr1avXq1cvZZv78+Zo9e7Zz+PPPP9fmzZuVmpqqI0eOaM6cOdq1a5fLPP369dPq1au1du1aHT16VO+8844uXrxY7OX9AAAAAACYRaW6FD8qKkrPPPOM5s+fr0WLFik0NFTDhw9X165dnW0yMzNd7nnLz8/X3LlzlZGRoWrVqikiIkKTJk1S8+bNnW06deqkM2fOKCkpSVlZWWrQoIEmTJhQ7KX4AAAAAACYRaUK9pLUtm1btW3bttjpY8aMcRnu37+/+vfvf9Xl9u7dW717977m+gAAAAAAqEwq1aX4AAAAAACgbAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYWLkH+4KCgvJeJAAAAAAAKIa3pzOuWbNGhw4dUvPmzdW+fXslJydr2bJlcjgcatOmjUaPHi1/f//yrBUAAAAAAFzBo2C/dOlSLViwQBaLRStXrtSgQYO0dOlSde/eXb/++qvWr1+vkJAQDR8+vLzrBQAAAAAAl/Eo2K9Zs0YtWrTQc889p6VLl2rRokW67777NGjQIEmSr6+vNm/eTLAHAAAAAOA68+ge+/T0dHXq1Ene3t7q3r27HA6HGjVq5JweFRWljIyMcisSAAAAAAC451Gwz8/Pl4+PjySpWrVqkiRv7/87+e/l5UUnegAAAAAA3AAed5537NgxpaSk6Pz585Kkn3/+WVar1TkNAAAAAABcfx4H+8WLF2vx4sXO4blz55ZLQQAAAAAAoPQ8CvZTpkwp7zoAAAAAAIAHPAr2t9xyS3nXAQAAAAAAPODxpfiFjh49qrS0NElS7dq1FR4efs1FAQAAAACA0vE42G/evFlz587VqVOnXMaHhoZq+PDhuvXWW6+5OAAAAAAAUDKPgv3WrVv1xhtvqHbt2ho6dKjzLP3Ro0e1evVqvf7663ruuefUqlWr8qwVAAAAAABcwaNgv2jRIkVERGjatGny9fV1jr/11lvVu3dvTZ48WR9//DHBHgAAAACA68zqyUxHjhxRt27dXEJ9IV9fX3Xv3l1Hjhy55uIAAAAAAEDJPDpjb7PZdO7cuWKnnzt3TjabzaOCMjIyNG/ePG3btk0XL15U3bp1lZCQoEaNGrltv2nTJn355Zc6fPiw8vPzFR4ervvvv9/laoGkpCQlJye7zBcWFqaZM2d6VCMAAAAAAJWFR8G+efPmWr58uVq1aqXo6GiXafv27dOKFSvUsmXLMi/33LlzmjRpkpo1a6YJEyYoMDBQJ06cUEBAQLHz/Pjjj2rZsqWGDh2qgIAArVmzRtOnT9fLL7+syMhIZ7v69etr0qRJzmGr1aOLFQAAAAAAqFQ8CvbDhg3TxIkTNWnSJEVFRSksLEySdPz4ce3fv19BQUF68MEHy7zcZcuWqVatWkpISHCOCw0NLXGeESNGuAzHx8dry5Yt+t///ucS7K1Wq+x2e5lrAgAAAACgMvMo2IeGhur111/XkiVLtG3bNn333XeSLj3Hvk+fPhowYICCgoLKvNwtW7YoNjZWM2bMUEpKimrWrKmePXuqR48epV6Gw+HQhQsXVL16dZfxqampGjVqlGw2m6KjoxUfH6+QkBC3y8jLy1NeXp5z2GKxyM/Pz/naTMxWLwCgZBaLhc/2G4T9DABVS1U+hnr8HPugoKAiZ8uv1alTp7Rq1Sr17dtXAwcO1IEDB/Tee+/J29tb3bt3L9UyPv30U+Xm5qpjx47OcY0bN1ZCQoLCwsKUmZmp5ORkTZ48WW+88YYzsF9uyZIlLvfkR0ZGavr06apdu/Y1b+ONVlBQUNElAADKUUhIiOrVq1fRZfwmcAwFgKqlKh9DPQ7214PD4VCjRo0UHx8v6VKgPnLkiFatWlWqYL9+/XolJydr3LhxLlcMtG7d2vk6IiLCGfQ3btyouLi4IssZOHCg+vXr5xwu/FYnLS1N+fn5nm5ehUhPT6/oEgAA5Sg9PV1eXl4VXcZvAsdQAKhazHYM9fb2LvXJZY+C/bRp067axmKxaPLkyWVabnBwsMLDw13GhYeHa9OmTVedd8OGDfrnP/+pP/3pT1ftuC8gIEBhYWFKTU11O91msxXbq79hGFetpTIxW70AgJIZhsFn+w3CfgaAqqUqH0M96ho+JSVFWVlZJbbxZIc1adJEx48fdxl3/Pjxq35LsX79er311lv64x//qDZt2lx1Pbm5uUpNTaUzPQAAAACA6Xl8Kf6gQYPUpUuX8qxFffv21aRJk7R48WJ16tRJ+/fv1+rVq/XYY48528yfP18ZGRl64oknJF0K9W+++aZGjBihxo0bO79w8PHxkb+/vyRp7ty5uvXWWxUSEqLMzEwlJSXJarWWe/0AAAAAANxoleoe+6ioKD3zzDOaP3++Fi1apNDQUA0fPlxdu3Z1tsnMzHS55+2rr75SQUGB/vOf/+g///mPc3y3bt00ZswYSVJGRoZmzZqls2fPKjAwUDExMUpMTFRgYOCN2zgAAAAAAK4Dj4P92bNndfr0adlsNvn6+srHx6dcCmrbtq3atm1b7PTCsF5o6tSpV13m2LFjr7EqAAAAAAAqJ4+D/Zw5czRnzhznsK+vr8LDw9W8eXPdfffd3L8OAAAAAMAN4FGwHz16tKRLj6fLz89XTk6OsrKydPToUX3++edavXq1XnzxxSr7jEAAAAAAACoLj4J9Sc+UT09P1+TJk7Vw4UIugQcAAAAA4Drz6HF3JQkJCdGAAQOUlpZW3osGAAAAAABXuC694vfs2VM9e/a8HosGAAAAAACX8eiM/cGDB7Vy5cpip69cuVKHDx/2tCYAAAAAAFBKHgX7jz76SDt37ix2+q5du/TRRx95XBQAAAAAACgdj8/Yx8TEFDu9adOmOnDggMdFAQAAAACA0vEo2F+4cEFeXl7FTrdYLDp//rzHRQEAAAAAgNLxKNjXq1dP27dvL3b6tm3bVKdOHY+LAgAAAAAApeNRsI+Li9MPP/yg999/Xzk5Oc7xOTk5mjNnjrZt26a4uLhyKxIAAAAAALjn0ePu7r77bh0+fFjLly/XihUrFBwcLEnKzMyUYRjq2rWr+vbtW66FAgAAAACAojwK9haLRQkJCbr99tu1adMmnTp1SpLUrl07dejQQc2aNSvXIgEAAAAAgHseBftCzZs3V/PmzcurFgAAAAAAUEYe3WMPAAAAAAAqB4I9AAAAAAAmRrAHAAAAAMDECPYAAAAAAJgYwR4AAAAAABO7pl7xJSk3N1fp6emSpJCQEPn6+l5zUQAAAAAAoHQ8Dvb79+/Xhx9+qD179sjhcEiSrFarYmJiNGzYMDVq1KjcigQAAAAAAO55FOz37dunqVOnytvbW3FxcbrpppskSceOHdOGDRs0ZcoUTZ06VVFRUeVaLAAAAAAAcOVRsP/oo49Us2ZNvfjii7Lb7S7T7r//fk2aNEkLFizQpEmTyqNGAAAAAABQDI86z9u3b5/uuuuuIqFekux2u3r06KF9+/Zda20AAAAAAOAqPAr2FotFBQUFxU53OByyWCweFwUAAAAAAErHo2DfpEkTrVy5UmlpaUWmpaen68svv1RMTMw1FwcAAAAAAErm0T32Q4cO1ZQpUzR27Fi1b99e9erVkyQdP35cW7ZskZeXl4YOHVquhQIAAAAAgKI8CvaRkZF6+eWXtWDBAm3ZskW//vqrJMnHx0etWrXSAw88oPDw8HItFAAAAAAAFOXxc+zDw8M1btw4ORwOnTlzRpIUGBgoq9Wjq/sBAAAAAIAHPA72haxWq0vv+AUFBfLy8rrWxQIAAAAAgFLwONivWbNGhw4dUvPmzdW+fXslJydr2bJlcjgcatOmjUaPHi1/f//yrBUAAAAAAFzBo2C/dOlSLViwQBaLRStXrtSgQYO0dOlSde/eXb/++qvWr1+vkJAQDR8+vLzrBQAAAAAAl/Eo2K9Zs0YtWrTQc889p6VLl2rRokW67777NGjQIEmSr6+vNm/eTLAHAAAAAOA686inu/T0dHXq1Ene3t7q3r27HA6HGjVq5JweFRWljIyMcisSAAAAAAC451Gwz8/Pl4+PjySpWrVqkiRv7/87+e/l5aWCgoJyKA8AAAAAAJTE487zjh07ppSUFJ0/f16S9PPPPzsfdXfs2LHyqQ4AAAAAAJTI42C/ePFiLV682Dk8d+7ccikIAAAAAACUnkfBfsqUKeVdBwAAAAAA8IBHwf6WW24p7zoAAAAAAIAHPOo8b9q0adq5c2d51wIAAAAAAMrIo2CfkpKi7Ozs8q4FAAAAAACUkUfBHgAAAAAAVA4e94p/9uxZpaenl9gmJCSkzMvNyMjQvHnztG3bNl28eFF169ZVQkKCGjVqVOw8u3fv1ty5c/XLL7+oVq1aGjRokLp37+7S5osvvtCnn36qrKwsRURE6JFHHlFUVFSZ6wMAAAAAoDLxONjPmTNHc+bMKbHNwoULy7TMc+fOadKkSWrWrJkmTJigwMBAnThxQgEBAcXOc+rUKf31r3/VXXfdpSeffFK7du3SP//5T9ntdrVq1UqS9N1332nu3LkaOXKkGjdurM8//1yJiYmaOXOmgoKCylQjAAAAAACVicfBvkePHmrcuHF51qJly5apVq1aSkhIcI4LDQ0tcZ4vv/xSoaGheuihhyRJ4eHh2rNnjz7//HNnsP/ss89055136o477pAkjRw5Ulu3btWaNWs0YMCAct0GAAAAAABuJI+DfdOmTdWlS5fyrEVbtmxRbGysZsyYoZSUFNWsWVM9e/ZUjx49ip1n3759atGihcu42NhY59UE+fn5OnjwoEuAt1qtatGihfbu3et2mXl5ecrLy3MOWywW+fn5OV+bidnqBQCUzGKx8Nl+g7CfAaBqqcrHUI+D/fVw6tQprVq1Sn379tXAgQN14MABvffee/L29i5yz3yhrKysIpfTBwUF6cKFC/r111917tw5ORwO2e12lzZ2u13Hjx93u8wlS5YoOTnZORwZGanp06erdu3a17R9FaGgoKCiSwAAlKOQkBDVq1evosv4TeAYCgBVS1U+hlaqYO9wONSoUSPFx8dLuhSojxw5olWrVhUb7K+HgQMHql+/fs7hwm910tLSlJ+ff8PqKA9X6+AQAGAu6enp8vLyqugyfhM4hgJA1WK2Y6i3t3epTy57FOzL2ileaQUHBys8PNxlXHh4uDZt2lTsPHa7XdnZ2S7jsrOz5efnJx8fHwUGBspqtSorK8ulTVZWVpGz+IVsNptsNpvbaYZhXH1DKhGz1QsAKJlhGHy23yDsZwCoWqryMdSj59gfPHhQK1euLHb6ypUrdfjw4TIvt0mTJkUujz9+/HiJ31I0btxYO3fudBm3Y8cORUdHS7r0LUfDhg21a9cu53SHw6Fdu3Y52wAAAAAAYFYeBfuPPvqoSJi+3K5du/TRRx+Vebl9+/bVvn37tHjxYqWmpmr9+vVavXq1evXq5Wwzf/58zZ492zncs2dPnTp1SvPmzdOxY8e0cuVKbdy4UX379nW26devn1avXq21a9fq6NGjeuedd3Tx4sUbenk/AAAAAADXg0eX4l/Zy/yVmjZtqiVLlpR5uVFRUXrmmWc0f/58LVq0SKGhoRo+fLi6du3qbJOZmelyz1toaKiee+45vf/++1q+fLlq1aqlxx9/3PmoO0nq1KmTzpw5o6SkJGVlZalBgwaaMGFCsZfiAwAAAABgFh4F+wsXLpTY6YDFYtH58+c9Kqht27Zq27ZtsdPHjBlTZFyzZs306quvlrjc3r17q3fv3h7VBAAAAABAZeXRpfj16tXT9u3bi52+bds21alTx+OiAAAAAABA6XgU7OPi4vTDDz/o/fffV05OjnN8Tk6O5syZo23btikuLq7cigQAAAAAAO55dCn+3XffrcOHD2v58uVasWKFgoODJV26/90wDHXt2tWl8zoAAAAAAHB9eBTsLRaLEhISdPvtt2vTpk06deqUJKldu3bq0KGDmjVrVq5FAgAAAAAA9zwK9oWaN2+u5s2bl1ctAAAAAACgjK4p2GdkZCglJUVnzpxRhw4dVKtWLTkcDp0/f17+/v6yWj26hR8AAAAAAJSSR8HeMAzNnTtXX3zxhRwOhyTp5ptvVq1atZSbm6sxY8Zo8ODB3GcPAAAAAMB15tEp9U8++UTLly/X7373O73wwgsu0/z9/dW+fXtt2rSpXAoEAAAAAADF8yjYr169Wt26dVN8fLwaNGhQZHpERIROnDhxrbUBAAAAAICr8CjYnz59WtHR0cVOr1atms6fP+9xUQAAAAAAoHQ8CvaBgYE6ffp0sdMPHjyokJAQj4sCAAAAAACl41Gw79Chg1atWqWTJ08WmbZ9+3atXbtWHTt2vObiAAAAAABAyTzqFX/w4MHavXu3nn32WcXExEiSli1bpoULF2rv3r2KjIzUwIEDy7VQAAAAAABQlEdn7P39/ZWYmKh77rlHGRkZ8vHxUUpKis6fP6/7779ff/nLX1StWrXyrhUAAAAAAFzBozP2kuTj46NBgwZp0KBB5VkPAAAAAAAoA4/O2AMAAAAAgMrBozP2b7311lXbWCwWjR492pPFAwAAAACAUvIo2O/evdtl2DAMnT59WkFBQbLZbJIuBXsAAAAAAHB9eRTs33zzTZfhM2fOaOTIkXrqqafUvHnzcikMAAAAAABcXbncY8/ZeQAAAAAAKka5BPvc3NxLC7PSFx8AAAAAADfSNSfxjIwMffTRR7JYLAoLCyuPmgAAAAAAQCl5dI/9kCFDioy7//77Zbfbr7UeAAAAAABQBh4F+0GDBslischisSgoKEjR0dGKiIgo79oAAAAAAMBVeBTsBw8eXN51AAAAAAAAD9DbHQAAAAAAJubRGftp06ZdtY3FYtHkyZM9WTwAAAAAACglj4J9SkqKJKlhw4by9fV128YwDM+rAgAAAAAApeJRsH/wwQe1dOlSnT59WoMGDdJdd93FM+wBAAAAAKgAHqXxe+65R7Nnz9btt9+uefPm6emnn9bGjRvLuzYAAAAAAHAVHp9m9/f317BhwzRr1iw1bdpUf//73/X8889r165d5VkfAAAAAAAowTVfP1+zZk09/vjjev3111WzZk29+OKLevnll3X48OFyKA8AAAAAAJTEo3vsk5OT3Y6PjIzUr7/+qu3bt2vnzp1asGDBNRUHAAAAAABK5lGw//jjj6/axuFweLJoAAAAAABQBh4F+4ULF5Z3HQAAAAAAwAM8ow4AAAAAABPz6Ix9enp6qdqFhIR4sngAAAAAAFBKHgX7MWPGlKodl+wDAAAAAHB9eRTsJenOO+9UdHR0edYCAAAAAADKyONgf8stt6hLly7lWQsAAAAAACgjOs8DAAAAAMDEPD5jv2nTJp08eVI2m02+vr6y2+266aabdNNNN3lcTFJSkpKTk13GhYWFaebMmW7bT506VSkpKUXGt27dWs8//7wk6c0339S6detcpsfGxmrixIke1wkAAAAAQGXhcbD//vvv9f333xcZHxwcrPvvv1933nmnR8utX7++Jk2a5By2Wou/qOCZZ55Rfn6+c/js2bMaN26cOnbs6NKuVatWSkhIcA57e3u82QAAAAAAVCoeJdzC3u4dDofy8/OVk5OjrKwsHT16VBs2bNC//vUv+fn5qVOnTmVettVqld1uL1Xb6tWruwxv2LBB1apV02233eYy3tvbu9TLBAAAAADATK7p1LXVapWPj498fHwUHBysyMhIde3aVS+//LI+//xzj4J9amqqRo0aJZvNpujoaMXHxyskJKRU83799dfq1KmTfH19XcanpKTo0UcfVUBAgJo3b64HHnhANWrUKHY5eXl5ysvLcw5bLBb5+fk5X5uJ2eoFAJTMYrHw2X6DsJ8BoGqpysfQ63JN+gMPPKBdu3aVeb7GjRsrISFBYWFhyszMVHJysiZPnqw33njDGayLs3//fv3yyy8aPXq0y/hWrVqpQ4cOCg0NVWpqqhYsWKCXX35ZiYmJxV7mv2TJEpd7/SMjIzV9+nTVrl27zNtU0QoKCiq6BABAOQoJCVG9evUquozfBI6hAFC1VOVj6HUJ9g0bNlTDhg3LPF/r1q2dryMiIpxBf+PGjYqLiytx3q+//lo333yzoqKiXMZ37tzZ+frmm29WRESEnnzySe3evVstWrRwu6yBAweqX79+zuHCb3XS0tJc7uk3g/T09IouAQBQjtLT0+Xl5VXRZfwmcAwFgKrFbMdQb2/vUp9c9jjYnz9/Xp9//rm2bt3qPPCFhISobdu26tOnj/z9/T1dtFNAQIDCwsKUmppaYrvc3Fxt2LBBQ4YMueoy69Spoxo1aig1NbXYYG+z2WSz2dxOMwzj6oVXImarFwBQMsMw+Gy/QdjPAFC1VOVjqEfPsc/IyND48eOVnJys3NxcNWnSRE2aNNHFixf18ccfa/z48crMzLzm4nJzc5WamnrVju/++9//Kj8/X127dr3qMk+fPq1z584pODj4musDAAAAAKCieXTG/sMPP1RWVpbGjx+vNm3auEz74YcfNGPGDH344Yd64oknyrTcuXPn6tZbb1VISIgyMzOVlJQkq9WqLl26SJJmz56tmjVrKj4+3mW+r7/+Wu3atSvSIV5ubq4+/vhjdejQQXa7XSdPntS8efNUt25dxcbGerDlAAAAAABULh4F+23btqlPnz5FQr106T75u+++W6tXry7zcjMyMjRr1iydPXtWgYGBiomJUWJiogIDAyVduifiyl4Mjx8/rj179uiFF14osjyr1aojR45o3bp1ysnJUc2aNdWyZUsNGTKk2EvtAQAAAAAwE4+C/cWLFxUUFFTsdLvdrosXL5Z5uWPHji1x+tSpU4uMCwsLU1JSktv2Pj4+mjhxYpnrAAAAAADALDy6xz48PFwbNmxw20N8fn6+NmzYoPDw8GsuDgAAAAAAlMyjM/b9+/fXzJkz9fzzz6tXr17OZwEeP35cq1at0s8//6ynn366XAsFAAAAAABFeRTsO3bsqIsXL+rDDz/Uv//9b5dpgYGBGj16tG677bZyKRAAAAAAABTP4+fYd+/eXV27dtWBAwdcnmPfqFEjeXl5lVuBAAAAAACgeKUO9oZhFOmR3svLS9HR0YqOji7SPi0tTbVr1772CgEAAAAAQLFK3XneG2+84bazvCs5HA4tW7ZMf/7zn6+pMAAAAAAAcHWlDvabN29WYmKiLly4UGyb/fv3a/z48Zo/f75atGhRLgUCAAAAAIDilTrYjxw5Unv27NGUKVOUnZ3tMu3ChQv6z3/+o0mTJuncuXP685//rHHjxpV7sQAAAAAAwFWp77Hv0aOHAgMDNWvWLL3wwguaOHGi6tatq//+97+aM2eOsrKy1KtXLw0dOlS+vr7Xs2YAAAAAAPD/K1Ov+O3bt9eECRP02muvadKkSYqMjNT27dvVoEEDjRs3To0aNbpedQIAAAAAADdKfSl+oWbNmmnq1KmSpO3bt6tLly565ZVXCPUAAAAAAFSAMgd7SWrQoIFefPFFhYaG6r///a82b95c3nUBAAAAAIBSKPWl+AcPHiwy7uGHH9Zbb72lmTNn6ve//71iYmJcpjds2PDaKwQAAAAAAMUqdbB//vnnS5z+/vvvFxm3cOHCslcEAAAAAABKrdTBfvTo0dezDgAAAAAA4IFSB/vu3btfxzIAAAAAAIAnPOo8DwAAAAAAVA4EewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAmRrAHAAAAAMDECPYAAAAAAJgYwR4AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAmRrAHAAAAAMDECPYAAAAAAJgYwR4AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAmRrAHAAAAAMDECPYAAAAAAJgYwR4AAAAAABMj2AMAAAAAYGIEewAAAAAATMy7ogu4XFJSkpKTk13GhYWFaebMmW7br127Vm+99ZbLOJvNpg8//NA5bBiGkpKStHr1auXk5CgmJkaPPvqo6tWrV+71AwAAAABwo1WqYC9J9evX16RJk5zDVmvJFxX4+flp1qxZxU5ftmyZVqxYoTFjxig0NFQLFy5UYmKiZsyYIR8fn3KrGwAAAACAilDpLsW3Wq2y2+3Of4GBgSW2t1gsLu3tdrtzmmEYWr58ue699161a9dOEREReuKJJ5SZmanNmzdf5y0BAAAAAOD6q3Rn7FNTUzVq1CjZbDZFR0crPj5eISEhxbbPzc1VQkKCDMNQZGSkhg4dqvr160uSTp06paysLLVs2dLZ3t/fX1FRUdq7d686d+7sdpl5eXnKy8tzDlssFvn5+Tlfm4nZ6gUAlMxisfDZfoOwnwGgaqnKx9BKFewbN26shIQEhYWFKTMzU8nJyZo8ebLeeOMNZ7C+XFhYmEaPHq2IiAidP39en3zyiV544QXNmDFDtWrVUlZWliQpKCjIZb6goCDnNHeWLFnicq9/ZGSkpk+frtq1a5fLdt5IBQUFFV0CAKAchYSE0E/MDcIxFACqlqp8DK1Uwb5169bO1xEREc6gv3HjRsXFxRVpHx0drejoaJfhp59+WqtWrdIDDzzgcR0DBw5Uv379nMOF3+qkpaUpPz/f4+VWhPT09IouAQBQjtLT0+Xl5VXRZfwmcAwFgKrFbMdQb2/vUp9crlTB/koBAQEKCwtTampqqdp7e3srMjLS2b7wfvvs7GwFBwc722VnZ6tBgwbFLsdms8lms7mdZhhG6YqvJMxWLwCgZIZh8Nl+g7CfAaBqqcrH0ErXed7lcnNzlZqa6tIhXkkcDoeOHDniDPGhoaGy2+3auXOns8358+e1f/9+lzP9AAAAAACYVaU6Yz937lzdeuutCgkJUWZmppKSkmS1WtWlSxdJ0uzZs1WzZk3Fx8dLkpKTk9W4cWPVrVtXOTk5+uSTT5SWlqY777xT0qVL6Pv06aPFixerXr16Cg0N1UcffaTg4GC1a9euwrYTAAAAAIDyUqmCfUZGhmbNmqWzZ88qMDBQMTExSkxMdD7yLj093aUXw3Pnzuntt99WVlaWAgIC1LBhQ7300ksKDw93tunfv78uXryot99+W+fPn1dMTIwmTJjAM+wBAAAAAFVCpQr2Y8eOLXH61KlTXYZHjBihESNGlDiPxWLRkCFDNGTIkGsrDgAAAACASqhS32MPAAAAAABKRrAHAAAAAMDECPYAAAAAAJgYwR4AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAmRrAHAAAAAMDECPYAAAAAAJgYwR4AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAmRrAHAAAAAMDECPYAAAAAAJgYwR4AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAmRrAHAAAAAMDECPYAAAAAAJgYwR4AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAmRrAHAAAAAMDECPYAAAAAAJgYwR4AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgDwAAAACAiRHsAQAAAAAwMYI9AAAAAAAm5l3RBVwuKSlJycnJLuPCwsI0c+ZMt+2/+uorffPNN/rll18kSQ0bNtTQoUMVFRXlbPPmm29q3bp1LvPFxsZq4sSJ5Vs8AAAAAAAVoFIFe0mqX7++Jk2a5By2Wou/qCAlJUWdO3dWkyZNZLPZtGzZMr300kuaMWOGatas6WzXqlUrJSQkOIe9vSvdZgMAAAAA4JFKl3CtVqvsdnup2j711FMuw48//rg2bdqknTt3qlu3bs7x3t7epV4mAAAAAABmUumCfWpqqkaNGiWbzabo6GjFx8crJCSkVPNevHhR+fn5ql69usv4lJQUPfroowoICFDz5s31wAMPqEaNGsUuJy8vT3l5ec5hi8UiPz8/52szMVu9AICSWSwWPttvEPYzAFQtVfkYWqmCfePGjZWQkKCwsDBlZmYqOTlZkydP1htvvOEM1iX58MMPVbNmTbVo0cI5rlWrVurQoYNCQ0OVmpqqBQsW6OWXX1ZiYmKxl/kvWbLE5V7/yMhITZ8+XbVr1772jbzBCgoKKroEAEA5CgkJUb169Sq6jN8EjqEAULVU5WNopQr2rVu3dr6OiIhwBv2NGzcqLi6uxHmXLl2qDRs2aOrUqfLx8XGO79y5s/P1zTffrIiICD355JPavXu3yxcAlxs4cKD69evnHC78VictLU35+fkebVtFSU9Pr+gSAADlKD09XV5eXhVdxm8Cx1AAqFrMdgz19vYu9cnlShXsrxQQEKCwsDClpqaW2O6TTz7R0qVLNWnSJEVERJTYtk6dOqpRo4ZSU1OLDfY2m002m83tNMMwSld8JWG2egEAJTMMg8/2G4T9DABVS1U+hlbq59jn5uYqNTW1xI7vli1bpkWLFmnChAlq1KjRVZd5+vRpnTt3TsHBweVYKQAAAAAAFaNSnbGfO3eubr31VoWEhCgzM1NJSUmyWq3q0qWLJGn27NmqWbOm4uPjJV26/D4pKUlPPfWUQkNDlZWVJUny9fWVr6+vcnNz9fHHH6tDhw6y2+06efKk5s2bp7p16yo2NraiNhMAAAAAgHJTqYJ9RkaGZs2apbNnzyowMFAxMTFKTExUYGCgpEv3RFzei+GqVauUn5+vGTNmuCznvvvu0+DBg2W1WnXkyBGtW7dOOTk5qlmzplq2bKkhQ4YUe6k9AAAAAABmUqmC/dixY0ucPnXqVJfhN998s8T2Pj4+mjhx4jVWBQAAAABA5VWp77EHAAAAAAAlI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxAj2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBi3hVdwOWSkpKUnJzsMi4sLEwzZ84sdp6NGzdq4cKFSktLU926dfXggw+qTZs2zumGYSgpKUmrV69WTk6OYmJi9Oijj6pevXrXazMAAAAAALhhKlWwl6T69etr0qRJzmGrtfiLCn766SfNmjVL8fHxatOmjdavX6/XXntN06dP18033yxJWrZsmVasWKExY8YoNDRUCxcuVGJiombMmCEfH5/rvj0AAAAAAFxPle5SfKvVKrvd7vwXGBhYbNvly5erVatWuueeexQeHq4HHnhADRs21BdffCHp0tn65cuX695771W7du0UERGhJ554QpmZmdq8efON2iQAAAAAAK6bSnfGPjU1VaNGjZLNZlN0dLTi4+MVEhLitu3evXvVr18/l3GxsbHO0H7q1CllZWWpZcuWzun+/v6KiorS3r171blzZ7fLzcvLU15ennPYYrHIz8/P+dpMCuvNPHFQF86cruBqfhscjgL9euFcRZcB3BA+ftVltXpVdBm/Cbk52ZIufa6b7VhkVoX7eX/6BaXn5F2lNcpDgcPQ2YsFFV0GcEPUqOYlLyuf5zdC1oV8SVX7GFqpgn3jxo2VkJCgsLAwZWZmKjk5WZMnT9Ybb7zhDNaXy8rKUlBQkMu4oKAgZWVlOacXjiuujTtLlixxudc/MjJS06dPV+3atT3bsArk6+srq9Wqo7u+rehSAADXyGq1KiIiQsHBwRVdym/CpWOoResOZld0KQCAa2S1Wqr0MbRSBfvWrVs7X0dERDiD/saNGxUXF3fD6hg4cKDLlQCF3+qkpaUpPz//htVRXoYOHaqMjIyKLuM3o6CgQOfOccYevw3Vq1eXlxdn7G+UmjVrKjc3VydOnKjoUn4zhg6N5xh6A3EMxW8Jx9Aby4zHUG9v71KfXK5Uwf5KAQEBCgsLU2pqqtvpdrtd2dmu36JnZ2fLbrc7pxeOu/ybmezsbDVo0KDY9dpsNtlsNrfTDMMo/QZUEnXq1FGdOnUqugwAQDkw43HIzDiGAkDVUZWPoZWu87zL5ebmKjU11RnQrxQdHa2dO3e6jNuxY4caN24sSQoNDZXdbndpc/78ee3fv1/R0dHXrW4AAAAAAG6UShXs586dq5SUFJ06dUo//fSTXnvtNVmtVnXp0kWSNHv2bM2fP9/Zvk+fPtq+fbs+/fRTHTt2TElJSTpw4IB69+4t6dIl9H369NHixYu1ZcsWHTlyRLNnz1ZwcLDatWtXIdsIAAAAAEB5qlSX4mdkZGjWrFk6e/asAgMDFRMTo8TEROcj79LT0116MWzSpImeeuopffTRR1qwYIHq1auncePGOZ9hL0n9+/fXxYsX9fbbb+v8+fOKiYnRhAkTeIY9AAAAAKBKsBhV+UaDcpaWlubyGDwAAAAAAK4Hm81W6s7zKtWl+AAAAAAAoGwI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMzLuiCzATb292FwAAAADg+itL/rQYhmFcx1oAAAAAAMB1xKX4AEzvwoULGj9+vC5cuFDRpQAAYCocQ4GqgWAPwPQMw9ChQ4fEBUgAAJQNx1CgaiDYAwAAAABgYgR7AAAAAABMjGAPwPRsNpvuu+8+2Wy2ii4FAABT4RgKVA30ig8AAAAAgIlxxh4AAAAAABMj2AMAAAAAYGIEewAAAAAATIxgD+A349SpUxo8eLAOHz5c0aUAAFDuDMPQ22+/rYcffrhUxzuOi0DV4V3RBQAAAAC4dtu2bdPatWs1depU1alTRzVq1KjokgDcIAR7AKaQn58vb28+sgAAKM7JkycVHBysJk2aVHQpAG4w/koGUClNnTpV9evXl5eXl7799lvdfPPNevjhhzVv3jz9+OOP8vX1VcuWLTV8+HAFBgZKunSmYtGiRfrll19ktVoVHR2tESNGqG7duhW8NQAAXF9vvvmm1q1bJ0kaPHiwateurZEjR5bpuOhwOPTPf/5Te/fu1QsvvKCQkBBt3rxZycnJOnr0qIKDg9WtWzfde++98vLyupGbB+AqCPYAKq1169apZ8+eevHFF5WTk6O//OUviouL0/Dhw/Xrr7/qww8/1N/+9jdNmTJFkpSbm6t+/fopIiJCubm5WrhwoV5//XW9+uqrslrpUgQAUHU9/PDDqlOnjlavXq1XXnlFVqtVKSkppT4u5uXladasWUpLS9Nf/vIXBQYG6scff9Ts2bP18MMPq2nTpjp58qTefvttSdL9999fEZsJoBj8pQug0qpXr56GDRumsLAw7dixQ5GRkYqPj9dNN92kyMhIjR49Wrt379bx48clSbfddps6dOigunXrqkGDBho9erSOHDmio0ePVvCWAABwffn7+8vPz09Wq1V2u12BgYGlPi7m5ubqr3/9q86cOaMpU6Y4r4RLTk7WgAED1L17d9WpU0ctW7bUkCFD9NVXX1XEJgIoAWfsAVRakZGRztc///yzdu3apd///vdF2p08eVJhYWE6ceKEFi5cqP379+vs2bNyOBySpPT0dN188803rG4AACqD0h4XZ82apZo1a2rKlCny8fFxjj98+LD27NmjxYsXO8c5HA7l5eXp4sWLqlat2o3bGAAlItgDqLR8fX2dr3Nzc9W2bVsNGzasSDu73S5Jmj59umrXrq1Ro0YpODhYhmHoz3/+s/Lz829UyQAAVBqlPS62bt1a3377rfbu3avmzZs7x+fm5mrw4MHq0KFDkWXbbLbrXj+A0iPYAzCFyMhIbdq0SbVr13bbYc/Zs2d1/PhxjRo1Sk2bNpUk7dmz50aXCQBApVCW42LPnj1Vv359TZ8+Xc8//7xuueUWSVLDhg11/PhxOqEFTIB77AGYQq9evXTu3DnNmjVL+/fvV2pqqrZt26a33npLDodDAQEBqlGjhr766iulpqZq165dev/99yu6bAAAKkRZj4t33323HnjgAf31r391fgEwaNAgffPNN/r444/1yy+/6OjRo9qwYYM++uijG7UZAEqJYA/AFGrWrKkXX3xRDodDiYmJeuaZZ/T+++/L399fFotFVqtVf/zjH3Xw4EH9+c9/1vvvv+/2fnwAAH4LPDku9u3bV4MHD9Yrr7yin376Sa1atdL48eO1Y8cOPf/885o4caI+//xzhYSE3KCtAFBaFsMwjIouAgAAAAAAeIYz9gAAAAAAmBjBHgAAAAAAEyPYAwAAAABgYgR7AAAAAABMjGAPAAAAAICJEewBAAAAADAxgj0AAAAAACZGsAcAAAAAwMQI9gAAAAAAmBjBHgAAk1m7dq0GDx6sAwcOFJn21VdfafDgwXr11VflcDgqoDoAAHCjEewBAKgivv/+e73zzjtq2rSpxo4dK6uVwzwAAL8FHPEBAKgCdu/erVmzZik8PFzjx4+Xj49PRZcEAABuEO+KLgAAAFybw4cP69VXX5XdbtfEiRPl7+/vnPbjjz9qxYoV2rdvn7KzsxUUFKQOHTooPj7eGf7ffPNNrVu3rsR1zJ49W6GhoZKkH374QUuWLNGhQ4dksVjUtGlTDRs2TPXr13e2L26ZderU0T/+8Q/n8MqVK7Vy5UqlpqaqRo0aateunYYOHaqAgABnm6lTp+rs2bMaM2aM3n33XR06dEh2u139+/dXz549ne12796tadOmacqUKWrWrJlz/CuvvKIffvhB9913nwYPHuwcv2vXLiUlJemXX35RTk6Oc3yvXr30hz/8ocT9AQBAZUKwBwDAxFJTU5WYmCibzaaJEycqODjYZfrGjRt18eJF9ezZUzVq1ND+/fv1xRdfKCMjQ3/6058kSXfddZdatGjhnGf27Nlq37692rdv7xwXGBgoSfrmm2/05ptvKjY2Vg8++KAuXryoL7/8UpMnT9b06dOd4V+SbDabRo0a5VKPn5+f83VSUpKSk5PVokUL9ezZU8ePH9eXX36pAwcO6MUXX5S39//9mXLu3Dm98sor6tixozp37qyNGzfqnXfekbe3t+Li4ordPykpKfrhhx+KjD916pT++te/Kjg4WIMGDXJu3+zZs4vf2QAAVFIEewAATCo7O1szZ85Udna2YmNjFRYWVqTNsGHDXC7L79Gjh+rWrasFCxYoPT1dISEhio6OVnR0tLPN7NmzdfPNN+v22293WVZubq7ee+89xcXFuQT2bt26aezYsVqyZInLeKvVWmQZhc6cOaOlS5cqNjZWzz//vLM/gLCwML377rv69ttvdccddzjbZ2Zm6qGHHlK/fv0kXfoyYsKECVqwYIFuv/12ly8BLvfhhx+qdevWRcL9jh079Ouvv+rJJ58ssu0AAJgN99gDAGBSb775pk6fPq0uXbpo+/bt2rhxY5E2l4f63NxcnTlzRtHR0TIMQ4cOHSrT+nbs2KGcnBx17txZZ86ccf6zWq1q3Lixdu/eXaZl5efnq0+fPi6d/PXo0UN+fn7aunWrS3svLy/16NHDOezt7a0ePXooOztbBw8edLuOTZs2af/+/YqPjy8y7cKFC5KkGjVqlLpmAAAqK87YAwBgUufOndPYsWPVvn17HT16VHPmzFFsbKzLPfbp6elauHChtmzZ4nIfuSSdP3++TOs7ceKEJOkvf/mL2+mXX2Z/Nenp6ZJU5CoDb29v1alTxzm9UHBwsHx9fV3GFc6blpbmctZdkhwOhxYsWKCuXbsqIiKiyPoL23/wwQeKj493XooPAIAZEewBADCp3//+9+rYsaMk6bHHHtPEiRM1f/58Pfroo5IuhdsXX3xR586dU//+/XXTTTepWrVqysjI0FtvvSXDMMq0vsL2TzzxhOx2e5HpXl5e17ZB5ejrr79WWlqaJk6c6HZ6kyZNNGzYMCUnJzv7GgAAwKwI9gAAmFTTpk2dr6OiotSrVy+tXLlSt99+u6Kjo3XkyBGdOHFCY8aMUbdu3Zxtd+zY4dH66tSpI0kKCgpSy5Ytr6n2kJAQSdLx48edy5Wk/Px8nTp1yqUzP+nSPfa5ubkuZ+2PHz8uSapdu7ZL24sXL+rjjz9Wz549i0y73D333KPU1FRt2rRJY8aMkbe3t1566aVr2i4AACoC99gDAFBFDB06VMHBwfrXv/6lgoIC573rl5+ZNwxDy5cv92j5sbGx8vPz05IlS5Sfn19k+pkzZ0q9rJYtW8rb21srVqxwqe/rr7/W+fPn1aZNG5f2BQUF+uqrr5zD+fn5+uqrrxQYGKiGDRu6tF2xYoUuXryoe++9t8QatmzZoq+++kqjRo1SmzZtrvnLCgAAKgpn7AEAqCL8/Pz0yCOP6PXXX9enn36qfv36qU6dOvrggw+UkZEhf39/bdq0SefOnfNo+f7+/ho5cqT+8Y9/aPz48ercubMCAwOVnp6urVu3qkmTJqV+/ntgYKAGDBig5ORkvfzyy2rbtq3zcXeNGjVS165dXdoHBwdr2bJlOnXqlMLCwvTdd9/p8OHDeuyxx4r0iL99+3Y98MADJXaMl5WVpX/+85+Ki4tzeawfAABmRLAHAKAKad++vW699VYtWrRInTp10vjx4/Xee+9p6dKlstlsat++vXr37q1x48Z5tPwuXbooODhYS5cu1SeffKK8vDzVrFlTTZs2dXk8XWkMHjxYgYGBWrlypd5//31Vr15dPXr00NChQ4uE9erVq2vMmDF69913tXr1atntdj3yyCMuPeUXCg4OVt++fYtdr2EYeuuttxQQEKARI0aUqWYAACoji1HWnnMAAABuoKlTp+rs2bN64403KroUAAAqJe6xBwAAAADAxAj2AAAAAACYGMEeAAAAAAAT4x57AAAAAABMjDP2AAAAAACYGMEeAAAAAAATI9gDAAAAAGBiBHsAAAAAAEyMYA8AAAAAgIkR7AEAAAAAMDGCPQAAAAAAJkawBwAAAADAxP4/EQuGj+6ZkwkAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Статистика длины заголовков:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>count</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>std</th>\n",
+       "      <th>min</th>\n",
+       "      <th>25%</th>\n",
+       "      <th>50%</th>\n",
+       "      <th>75%</th>\n",
+       "      <th>max</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>label</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>fake</th>\n",
+       "      <td>9.0</td>\n",
+       "      <td>5.666667</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>7.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>real</th>\n",
+       "      <td>9.0</td>\n",
+       "      <td>5.666667</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>7.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       count      mean  std  min  25%  50%  75%  max\n",
+       "label                                               \n",
+       "fake     9.0  5.666667  1.0  5.0  5.0  5.0  7.0  7.0\n",
+       "real     9.0  5.666667  1.0  5.0  5.0  5.0  7.0  7.0"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Топ-10 самых частых заголовков:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "title\n",
+       "Government Announces New Education Reforms      3\n",
+       "Economy Shows Signs of Recovery                 3\n",
+       "Aliens Land in Central Park                     3\n",
+       "New Study Reveals Health Benefits of Walking    3\n",
+       "Cure for Aging Discovered in Remote Village     3\n",
+       "Celebrity Reveals Secret Government Plans       3\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "print(\"\\n=== АНАЛИЗ ЗАГОЛОВКОВ ===\")\n",
+    "\n",
+    "# Создаем копию DataFrame для безопасного изменения\n",
+    "df_titles = df_clean.copy()\n",
+    "\n",
+    "# Правильное создание нового столбца с длиной заголовка\n",
+    "df_titles.loc[:, 'title_length'] = df_titles['title'].apply(lambda x: len(str(x).split()))\n",
+    "\n",
+    "# Построение boxplot с учетом новых требований seaborn\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "sns.boxplot(\n",
+    "    data=df_titles,\n",
+    "    x='label',\n",
+    "    y='title_length',\n",
+    "    hue='label',      # Добавлено согласно новому синтаксису\n",
+    "    palette='pastel',\n",
+    "    legend=False      # Отключаем избыточную легенду\n",
+    ")\n",
+    "plt.title('Распределение длины заголовков по категориям')\n",
+    "plt.ylabel('Количество слов')\n",
+    "plt.xlabel('Категория')\n",
+    "plt.show()\n",
+    "\n",
+    "# Статистика длины заголовков\n",
+    "print(\"\\nСтатистика длины заголовков:\")\n",
+    "display(df_titles.groupby('label')['title_length'].describe())\n",
+    "\n",
+    "# Топ-10 самых частых заголовков\n",
+    "print(\"\\nТоп-10 самых частых заголовков:\")\n",
+    "display(df_titles['title'].value_counts().head(10))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b545b4df-dd17-4b5c-b040-5ce4cfbecf12",
+   "metadata": {},
+   "source": [
+    "## 7. Сохранение результатов"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "59a91576-c50d-4dce-88c9-b323322e70bc",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "=== Сохранение результатов ===\n",
+      "Очищенные данные сохранены в файл 'cleaned_fake_news.csv'\n",
+      "\n",
+      "Анализ завершен!\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"\\n=== Сохранение результатов ===\")\n",
+    "df_clean.to_csv('cleaned_fake_news.csv', index=False)\n",
+    "print(\"Очищенные данные сохранены в файл 'cleaned_fake_news.csv'\")\n",
+    "\n",
+    "print(\"\\nАнализ завершен!\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c85a8264-9c55-40a1-a0cf-a904b5cec409",
+   "metadata": {},
+   "source": [
+    "## Разведочный анализ данных (EDA) новостей"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e592d5aa-a4f2-42ab-89a8-876e4c606fd3",
+   "metadata": {},
+   "source": [
+    "## 1. Распределение классов"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "722d54c5-112a-4bd8-8020-a199958f9b86",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(8,5))\n",
+    "sns.countplot(data=df, x='label', hue='label', palette='viridis', legend=False)\n",
+    "plt.title('Распределение новостей по категориям')\n",
+    "plt.xlabel('Тип новости')\n",
+    "plt.ylabel('Количество')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6af559c9-0f52-4cf5-b75a-bb03d125d651",
+   "metadata": {},
+   "source": [
+    "## 2. Анализ длины текстов"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "88f6bf44-4b75-4e5c-b284-735bf54e382b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "       count       mean       std   min   25%   50%   75%   max\n",
+      "label                                                          \n",
+      "fake   468.0  13.282051  1.868692  12.0  12.0  12.0  16.0  16.0\n",
+      "real   532.0  12.370301  2.071259  10.0  10.0  12.0  15.0  15.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "df['text_length'] = df['text'].apply(lambda x: len(str(x).split()))\n",
+    "plt.figure(figsize=(12,6))\n",
+    "sns.boxplot(data=df, x='label', y='text_length', hue='label', palette='Set2', legend=False)\n",
+    "plt.title('Распределение длины текста')\n",
+    "plt.ylabel('Количество слов')\n",
+    "plt.xlabel('Тип новости')\n",
+    "plt.show()\n",
+    "\n",
+    "print(df.groupby('label')['text_length'].describe())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "69955e19-d745-42b9-b967-e2614206ec33",
+   "metadata": {},
+   "source": [
+    "## 3. Анализ заголовков"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "3c48ac92-fe9c-4d49-a39f-9dee77c6b681",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Топ-10 заголовков real:\n",
+      "title\n",
+      "Economy Shows Signs of Recovery                 213\n",
+      "Government Announces New Education Reforms      175\n",
+      "New Study Reveals Health Benefits of Walking    144\n",
+      "Name: count, dtype: int64\n",
+      "\n",
+      "Топ-10 заголовков fake:\n",
+      "title\n",
+      "Celebrity Reveals Secret Government Plans      162\n",
+      "Cure for Aging Discovered in Remote Village    157\n",
+      "Aliens Land in Central Park                    149\n",
+      "Name: count, dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "df['title_length'] = df['title'].apply(lambda x: len(str(x).split()))\n",
+    "plt.figure(figsize=(12,6))\n",
+    "sns.boxplot(data=df, x='label', y='title_length', hue='label', palette='pastel', legend=False)\n",
+    "plt.title('Распределение длины заголовков')\n",
+    "plt.ylabel('Количество слов')\n",
+    "plt.xlabel('Тип новости')\n",
+    "plt.show()\n",
+    "\n",
+    "print(\"Топ-10 заголовков real:\")\n",
+    "print(df[df['label']=='real']['title'].value_counts().head(10))\n",
+    "print(\"\\nТоп-10 заголовков fake:\")\n",
+    "print(df[df['label']=='fake']['title'].value_counts().head(10))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7f605c1b-5ce0-4dc7-b35e-747511ef5ac6",
+   "metadata": {},
+   "source": [
+    "## 4. Анализ ключевых слов"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "3af80523-186c-410f-b39b-afeeacc346ee",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def plot_top_words(text_series, title, n=20):\n",
+    "    # Инициализация векторизатора с ограничением на стоп-слова\n",
+    "    vec = CountVectorizer(stop_words='english', max_features=n)\n",
+    "    \n",
+    "    # Подгонка и преобразование текста\n",
+    "    bag_of_words = vec.fit_transform(text_series)\n",
+    "    sum_words = bag_of_words.sum(axis=0) \n",
+    "    \n",
+    "    # Создание списка частот слов\n",
+    "    words_freq = [(word, sum_words[0, idx]) for word, idx in vec.vocabulary_.items()]\n",
+    "    words_freq = sorted(words_freq, key=lambda x: x[1], reverse=True)\n",
+    "    \n",
+    "    # Создание DataFrame для визуализации\n",
+    "    words_df = pd.DataFrame(words_freq[:n], columns=['word', 'count'])\n",
+    "    \n",
+    "    # Визуализация с актуальным синтаксисом seaborn\n",
+    "    plt.figure(figsize=(12, 8))\n",
+    "    sns.barplot(\n",
+    "        data=words_df,\n",
+    "        y='word',\n",
+    "        x='count',\n",
+    "        hue='word',  # Добавлен hue для нового синтаксиса\n",
+    "        palette='crest',\n",
+    "        legend=False  # Отключаем легенду\n",
+    "    )\n",
+    "    plt.title(title, fontsize=14, pad=20)\n",
+    "    plt.xlabel('Частота встречаемости', fontsize=12)\n",
+    "    plt.ylabel('Топ слова', fontsize=12)\n",
+    "    plt.xticks(fontsize=10)\n",
+    "    plt.yticks(fontsize=10)\n",
+    "    plt.grid(axis='x', alpha=0.3)\n",
+    "    plt.show()\n",
+    "\n",
+    "# Применение функции к данным\n",
+    "plot_top_words(df[df['label']=='real']['text'], 'Топ-20 слов в реальных новостях')\n",
+    "plot_top_words(df[df['label']=='fake']['text'], 'Топ-20 слов в фейковых новостях')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7dcb23fd-90b0-4f0e-82a0-cf746fa76e92",
+   "metadata": {},
+   "source": [
+    "## 5. Корреляция признаков"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "1d40069a-b78a-40ac-87a8-ad4a0cc72766",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "=== АНАЛИЗ КОРРЕЛЯЦИИ ПРИЗНАКОВ ===\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x800 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Численные значения корреляции:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>text_length</th>\n",
+       "      <th>title_length</th>\n",
+       "      <th>label_num</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>text_length</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.027829</td>\n",
+       "      <td>-0.224248</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>title_length</th>\n",
+       "      <td>-0.027829</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.070484</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>label_num</th>\n",
+       "      <td>-0.224248</td>\n",
+       "      <td>-0.070484</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              text_length  title_length  label_num\n",
+       "text_length      1.000000     -0.027829  -0.224248\n",
+       "title_length    -0.027829      1.000000  -0.070484\n",
+       "label_num       -0.224248     -0.070484   1.000000"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "print(\"\\n=== АНАЛИЗ КОРРЕЛЯЦИИ ПРИЗНАКОВ ===\")\n",
+    "\n",
+    "# Создаем копию DataFrame для безопасного изменения\n",
+    "numeric_df = df[['text_length', 'title_length']].copy()\n",
+    "\n",
+    "# Правильное создание нового столбца\n",
+    "numeric_df.loc[:, 'label_num'] = df['label'].map({'real': 1, 'fake': 0})\n",
+    "\n",
+    "# Вычисляем матрицу корреляции\n",
+    "corr_matrix = numeric_df.corr()\n",
+    "\n",
+    "# Визуализация тепловой карты\n",
+    "plt.figure(figsize=(10, 8))\n",
+    "sns.heatmap(\n",
+    "    corr_matrix,\n",
+    "    annot=True,\n",
+    "    cmap='coolwarm',\n",
+    "    center=0,\n",
+    "    fmt=\".2f\",\n",
+    "    linewidths=.5,\n",
+    "    annot_kws={\"size\": 12}\n",
+    ")\n",
+    "\n",
+    "# Настройка отображения\n",
+    "plt.title('Матрица корреляции признаков', fontsize=14, pad=20)\n",
+    "plt.xticks(fontsize=10, rotation=45)\n",
+    "plt.yticks(fontsize=10, rotation=0)\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n",
+    "\n",
+    "# Вывод численных значений корреляции\n",
+    "print(\"\\nЧисленные значения корреляции:\")\n",
+    "display(corr_matrix)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2b95b797-59ac-4ca2-90da-f5536cb0eaad",
+   "metadata": {},
+   "source": [
+    "## 1. Создаем копию данных для обработки"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "68e0b53e-c974-4b70-8454-b9ef26984ecd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_processed = df.copy()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "20847895-9d1d-40f3-b21c-de251dc459cf",
+   "metadata": {},
+   "source": [
+    "## 2. Преобразование категориального признака"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "b0116eff-b140-4c7b-abba-1487125b6efe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_processed['label_num'] = df_processed['label'].map({'real': 1, 'fake': 0})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7e5e081f-57ad-43c8-bf29-cc22b15bf07b",
+   "metadata": {},
+   "source": [
+    "## 3. Создание новых признаков из текста"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "f759a1b6-366b-4339-8a89-6ced2bdd1489",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import re\n",
+    "\n",
+    "def extract_text_features(text):\n",
+    "    text = str(text)\n",
+    "    features = {\n",
+    "        'num_words': len(text.split()),\n",
+    "        'num_chars': len(text),\n",
+    "        'num_upper': sum(1 for c in text if c.isupper()),\n",
+    "        'num_excl': text.count('!'),\n",
+    "        'num_quest': text.count('?'),\n",
+    "        'num_quotes': text.count('\"') + text.count(\"'\"),\n",
+    "        'num_digits': sum(c.isdigit() for c in text),\n",
+    "        'num_links': len(re.findall(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\\\(\\\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', text))\n",
+    "    }\n",
+    "    return features\n",
+    "\n",
+    "# Применяем функцию к тексту и заголовкам\n",
+    "text_features = pd.DataFrame(df_processed['text'].apply(extract_text_features).tolist())  # Исправлено toList() на tolist()\n",
+    "title_features = pd.DataFrame(df_processed['title'].apply(extract_text_features).tolist())\n",
+    "\n",
+    "# Добавляем префиксы к названиям столбцов\n",
+    "text_features = text_features.add_prefix('text_')\n",
+    "title_features = title_features.add_prefix('title_')\n",
+    "\n",
+    "# Объединяем с основным DataFrame\n",
+    "df_processed = pd.concat([df_processed, text_features, title_features], axis=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "76517662-85e7-428d-83d5-dcf9f65d4450",
+   "metadata": {},
+   "source": [
+    "## 4. Анализ тональности"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "a2c611f9-b014-4d8e-9c05-9e283c186abd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_sentiment(text):\n",
+    "    analysis = TextBlob(str(text))\n",
+    "    return analysis.sentiment.polarity, analysis.sentiment.subjectivity\n",
+    "\n",
+    "df_processed[['text_polarity', 'text_subjectivity']] = df_processed['text'].apply(get_sentiment).apply(pd.Series)\n",
+    "df_processed[['title_polarity', 'title_subjectivity']] = df_processed['title'].apply(get_sentiment).apply(pd.Series)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aa4b1b84-c3d0-4744-953d-0f4a8ebf220c",
+   "metadata": {},
+   "source": [
+    "## 5. Удаление исходных текстовых признаков"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "7a6f9b20-1380-4da2-bcfe-0807a382c38e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_processed.drop(['title', 'text', 'label'], axis=1, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "19f129bf-d534-4a48-a49c-d73d5eb8414c",
+   "metadata": {},
+   "source": [
+    "## 6. Проверка результата"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "592f0c83-85ce-4790-ad07-d7c768381936",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Преобразованные данные:\n",
+      "Всего признаков: 23\n",
+      "   text_length  title_length  label_num  text_num_words  text_num_chars  \\\n",
+      "0           10             5          1              10              72   \n",
+      "1           12             5          1              12              89   \n",
+      "2           12             5          0              12              81   \n",
+      "3           12             5          0              12              91   \n",
+      "4           10             7          1              10              72   \n",
+      "\n",
+      "   text_num_upper  text_num_excl  text_num_quest  text_num_quotes  \\\n",
+      "0               1              0               0                0   \n",
+      "1               1              0               0                0   \n",
+      "2               1              0               0                0   \n",
+      "3               1              0               0                0   \n",
+      "4               1              0               0                0   \n",
+      "\n",
+      "   text_num_digits  ...  title_num_upper  title_num_excl  title_num_quest  \\\n",
+      "0                0  ...                5               0                0   \n",
+      "1                0  ...                4               0                0   \n",
+      "2                0  ...                4               0                0   \n",
+      "3                0  ...                4               0                0   \n",
+      "4                0  ...                6               0                0   \n",
+      "\n",
+      "   title_num_quotes  title_num_digits  title_num_links  text_polarity  \\\n",
+      "0                 0                 0                0       0.000000   \n",
+      "1                 0                 0                0       0.068182   \n",
+      "2                 0                 0                0       0.000000   \n",
+      "3                 0                 0                0      -0.700000   \n",
+      "4                 0                 0                0       0.000000   \n",
+      "\n",
+      "   text_subjectivity  title_polarity  title_subjectivity  \n",
+      "0           0.000000        0.136364            0.454545  \n",
+      "1           0.227273        0.000000            0.000000  \n",
+      "2           0.000000        0.000000            0.250000  \n",
+      "3           0.850000        0.000000            0.250000  \n",
+      "4           0.000000        0.136364            0.454545  \n",
+      "\n",
+      "[5 rows x 23 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Преобразованные данные:\")\n",
+    "print(f\"Всего признаков: {len(df_processed.columns)}\")\n",
+    "print(df_processed.head())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a798f58f-b6d1-4825-a78e-786af058068f",
+   "metadata": {},
+   "source": [
+    "## Сохранение обработанных данных"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "11a3590f-d3a1-4864-bb4a-2f3e250e91b5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_processed.to_csv('processed_news_data.csv', index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "946611ad-1d66-45f0-8b2c-5fdd6cc7781b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Настройка логистической регрессии...\n",
+      "Настройка SVM...\n",
+      "Настройка Random Forest...\n",
+      "Настройка Gradient Boosting...\n",
+      "\n",
+      "Результаты на тестовой выборке:\n",
+      "\n",
+      "LogisticRegression:\n",
+      "Accuracy: 1.0000\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00       113\n",
+      "           1       1.00      1.00      1.00        87\n",
+      "\n",
+      "    accuracy                           1.00       200\n",
+      "   macro avg       1.00      1.00      1.00       200\n",
+      "weighted avg       1.00      1.00      1.00       200\n",
+      "\n",
+      "\n",
+      "SVM:\n",
+      "Accuracy: 1.0000\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00       113\n",
+      "           1       1.00      1.00      1.00        87\n",
+      "\n",
+      "    accuracy                           1.00       200\n",
+      "   macro avg       1.00      1.00      1.00       200\n",
+      "weighted avg       1.00      1.00      1.00       200\n",
+      "\n",
+      "\n",
+      "RandomForest:\n",
+      "Accuracy: 1.0000\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00       113\n",
+      "           1       1.00      1.00      1.00        87\n",
+      "\n",
+      "    accuracy                           1.00       200\n",
+      "   macro avg       1.00      1.00      1.00       200\n",
+      "weighted avg       1.00      1.00      1.00       200\n",
+      "\n",
+      "\n",
+      "GradientBoosting:\n",
+      "Accuracy: 1.0000\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00       113\n",
+      "           1       1.00      1.00      1.00        87\n",
+      "\n",
+      "    accuracy                           1.00       200\n",
+      "   macro avg       1.00      1.00      1.00       200\n",
+      "weighted avg       1.00      1.00      1.00       200\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 1. Загрузка и подготовка данных\n",
+    "data = pd.read_csv('15_fake_news_detection.csv')\n",
+    "X = data['text']\n",
+    "y = data['label'].map({'real': 0, 'fake': 1})\n",
+    "\n",
+    "# 2. Векторизация текста\n",
+    "tfidf = TfidfVectorizer(max_features=5000, stop_words='english')\n",
+    "X_tfidf = tfidf.fit_transform(X)\n",
+    "\n",
+    "# 3. Разделение данных\n",
+    "X_train, X_test, y_train, y_test = train_test_split(\n",
+    "    X_tfidf, y, test_size=0.2, random_state=42\n",
+    ")\n",
+    "\n",
+    "# 4. Масштабирование данных\n",
+    "scaler = StandardScaler(with_mean=False)\n",
+    "X_train_scaled = scaler.fit_transform(X_train)\n",
+    "X_test_scaled = scaler.transform(X_test)\n",
+    "\n",
+    "best_models = {}\n",
+    "\n",
+    "# 5. Логистическая регрессия\n",
+    "print(\"Настройка логистической регрессии...\")\n",
+    "lr_param_grid = {'C': [0.01, 0.1, 1, 10], 'penalty': ['l1', 'l2'], 'solver': ['liblinear']}\n",
+    "lr_grid = GridSearchCV(LogisticRegression(random_state=42), lr_param_grid, cv=5, n_jobs=-1)\n",
+    "lr_grid.fit(X_train_scaled, y_train)\n",
+    "best_models['LogisticRegression'] = lr_grid.best_estimator_\n",
+    "\n",
+    "# 6. SVM\n",
+    "print(\"Настройка SVM...\")\n",
+    "svm_param_grid = {'C': [0.1, 1, 10], 'kernel': ['linear', 'rbf'], 'gamma': ['scale', 'auto']}\n",
+    "svm_grid = GridSearchCV(SVC(random_state=42, probability=True), svm_param_grid, cv=5, n_jobs=-1)\n",
+    "svm_grid.fit(X_train_scaled, y_train)\n",
+    "best_models['SVM'] = svm_grid.best_estimator_\n",
+    "\n",
+    "# 7. Random Forest\n",
+    "print(\"Настройка Random Forest...\")\n",
+    "rf_param_grid = {'n_estimators': [100, 200], 'max_depth': [None, 10, 20], 'min_samples_split': [2, 5]}\n",
+    "rf_grid = GridSearchCV(RandomForestClassifier(random_state=42), rf_param_grid, cv=5, n_jobs=-1)\n",
+    "rf_grid.fit(X_train, y_train)\n",
+    "best_models['RandomForest'] = rf_grid.best_estimator_\n",
+    "\n",
+    "# 8. Gradient Boosting (вместо XGBoost)\n",
+    "print(\"Настройка Gradient Boosting...\")\n",
+    "gb_param_grid = {'n_estimators': [100, 200], 'learning_rate': [0.01, 0.1], 'max_depth': [3, 5]}\n",
+    "gb_grid = GridSearchCV(GradientBoostingClassifier(random_state=42), gb_param_grid, cv=5, n_jobs=-1)\n",
+    "gb_grid.fit(X_train, y_train)\n",
+    "best_models['GradientBoosting'] = gb_grid.best_estimator_\n",
+    "\n",
+    "# 9. Оценка моделей\n",
+    "print(\"\\nРезультаты на тестовой выборке:\")\n",
+    "for name, model in best_models.items():\n",
+    "    if name in ['LogisticRegression', 'SVM']:\n",
+    "        y_pred = model.predict(X_test_scaled)\n",
+    "    else:\n",
+    "        y_pred = model.predict(X_test)\n",
+    "    \n",
+    "    print(f\"\\n{name}:\")\n",
+    "    print(f\"Accuracy: {accuracy_score(y_test, y_pred):.4f}\")\n",
+    "    print(classification_report(y_test, y_pred))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "34c9e8a0-26aa-4fe2-a8b4-3786a1a1287f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x500 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Сравнительная таблица метрик:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Model</th>\n",
+       "      <th>Accuracy</th>\n",
+       "      <th>Precision (Fake)</th>\n",
+       "      <th>Recall (Fake)</th>\n",
+       "      <th>F1-Score (Fake)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>LogisticRegression</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>RandomForest</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                Model  Accuracy  Precision (Fake)  Recall (Fake)  \\\n",
+       "0  LogisticRegression       1.0               1.0            1.0   \n",
+       "1        RandomForest       1.0               1.0            1.0   \n",
+       "\n",
+       "   F1-Score (Fake)  \n",
+       "0              1.0  \n",
+       "1              1.0  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.model_selection import train_test_split, GridSearchCV\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.svm import SVC\n",
+    "from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier\n",
+    "from sklearn.metrics import (accuracy_score, \n",
+    "                           classification_report, \n",
+    "                           confusion_matrix)\n",
+    "\n",
+    "# 1. Загрузка и подготовка данных\n",
+    "data = pd.read_csv('15_fake_news_detection.csv')\n",
+    "X = data['text']\n",
+    "y = data['label'].map({'real': 0, 'fake': 1})\n",
+    "\n",
+    "# 2. Векторизация текста\n",
+    "tfidf = TfidfVectorizer(max_features=5000, stop_words='english')\n",
+    "X_tfidf = tfidf.fit_transform(X)\n",
+    "\n",
+    "# 3. Разделение данных\n",
+    "X_train, X_test, y_train, y_test = train_test_split(\n",
+    "    X_tfidf, y, test_size=0.2, random_state=42\n",
+    ")\n",
+    "\n",
+    "# 4. Масштабирование данных\n",
+    "scaler = StandardScaler(with_mean=False)\n",
+    "X_train_scaled = scaler.fit_transform(X_train)\n",
+    "X_test_scaled = scaler.transform(X_test)\n",
+    "\n",
+    "# Обучение моделей (пример для 2 моделей для краткости)\n",
+    "models = {\n",
+    "    'LogisticRegression': LogisticRegression(random_state=42),\n",
+    "    'RandomForest': RandomForestClassifier(random_state=42)\n",
+    "}\n",
+    "\n",
+    "for name, model in models.items():\n",
+    "    if name == 'LogisticRegression':\n",
+    "        model.fit(X_train_scaled, y_train)\n",
+    "    else:\n",
+    "        model.fit(X_train, y_train)\n",
+    "\n",
+    "# Функция для построения confusion matrix\n",
+    "def plot_confusion_matrix(y_true, y_pred, model_name, ax):\n",
+    "    cm = confusion_matrix(y_true, y_pred)\n",
+    "    sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', ax=ax,\n",
+    "                xticklabels=['Real', 'Fake'], \n",
+    "                yticklabels=['Real', 'Fake'])\n",
+    "    ax.set_title(f'{model_name}\\nAccuracy: {accuracy_score(y_true, y_pred):.2f}')\n",
+    "    ax.set_xlabel('Predicted')\n",
+    "    ax.set_ylabel('Actual')\n",
+    "\n",
+    "# Создаем фигуру для графиков\n",
+    "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n",
+    "\n",
+    "# Оценка моделей и построение матриц ошибок\n",
+    "for i, (name, model) in enumerate(models.items()):\n",
+    "    # Предсказание на тестовых данных\n",
+    "    if name == 'LogisticRegression':\n",
+    "        y_pred = model.predict(X_test_scaled)\n",
+    "    else:\n",
+    "        y_pred = model.predict(X_test)\n",
+    "    \n",
+    "    # Построение confusion matrix\n",
+    "    plot_confusion_matrix(y_test, y_pred, name, axes[i])\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n",
+    "\n",
+    "# Сравнительная таблица метрик\n",
+    "results = []\n",
+    "for name, model in models.items():\n",
+    "    if name == 'LogisticRegression':\n",
+    "        y_pred = model.predict(X_test_scaled)\n",
+    "    else:\n",
+    "        y_pred = model.predict(X_test)\n",
+    "    \n",
+    "    report = classification_report(y_test, y_pred, output_dict=True)\n",
+    "    results.append({\n",
+    "        'Model': name,\n",
+    "        'Accuracy': report['accuracy'],\n",
+    "        'Precision (Fake)': report['1']['precision'],\n",
+    "        'Recall (Fake)': report['1']['recall'],\n",
+    "        'F1-Score (Fake)': report['1']['f1-score']\n",
+    "    })\n",
+    "\n",
+    "results_df = pd.DataFrame(results)\n",
+    "print(\"\\nСравнительная таблица метрик:\")\n",
+    "display(results_df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b3b449e7-ac3a-4709-90bd-2c1d1f7388a6",
+   "metadata": {},
+   "source": [
+    "## 1. Реализация логистической регрессии"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "82e949ab-97c8-4068-978b-d8e48156b004",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "from sklearn.base import BaseEstimator, ClassifierMixin\n",
+    "\n",
+    "class MyLogisticRegression(BaseEstimator, ClassifierMixin):\n",
+    "    def __init__(self, learning_rate=0.01, max_iter=1000, tol=1e-4, C=1.0, penalty='l2'):\n",
+    "        self.learning_rate = learning_rate\n",
+    "        self.max_iter = max_iter\n",
+    "        self.tol = tol\n",
+    "        self.C = C  # Параметр регуляризации\n",
+    "        self.penalty = penalty  # 'l2' или 'l1'\n",
+    "        self.weights = None\n",
+    "        self.bias = None\n",
+    "    \n",
+    "    def _sigmoid(self, z):\n",
+    "        return 1 / (1 + np.exp(-z))\n",
+    "    \n",
+    "    def _loss(self, h, y):\n",
+    "        # Функция потерь с регуляризацией\n",
+    "        m = y.shape[0]\n",
+    "        loss = (-y * np.log(h) - (1 - y) * np.log(1 - h)).mean()\n",
+    "        \n",
+    "        if self.penalty == 'l2':\n",
+    "            reg = (self.C / (2 * m)) * np.sum(self.weights**2)\n",
+    "        elif self.penalty == 'l1':\n",
+    "            reg = (self.C / m) * np.sum(np.abs(self.weights))\n",
+    "        else:\n",
+    "            reg = 0\n",
+    "            \n",
+    "        return loss + reg\n",
+    "    \n",
+    "    def fit(self, X, y):\n",
+    "        # Инициализация параметров\n",
+    "        m, n = X.shape\n",
+    "        self.weights = np.zeros(n)\n",
+    "        self.bias = 0\n",
+    "        \n",
+    "        # Градиентный спуск\n",
+    "        for i in range(self.max_iter):\n",
+    "            # Прямое распространение\n",
+    "            z = np.dot(X, self.weights) + self.bias\n",
+    "            h = self._sigmoid(z)\n",
+    "            \n",
+    "            # Обратное распространение\n",
+    "            dw = (1/m) * np.dot(X.T, (h - y))\n",
+    "            db = (1/m) * np.sum(h - y)\n",
+    "            \n",
+    "            # Регуляризация\n",
+    "            if self.penalty == 'l2':\n",
+    "                dw += (self.C / m) * self.weights\n",
+    "            elif self.penalty == 'l1':\n",
+    "                dw += (self.C / m) * np.sign(self.weights)\n",
+    "            \n",
+    "            # Обновление параметров\n",
+    "            self.weights -= self.learning_rate * dw\n",
+    "            self.bias -= self.learning_rate * db\n",
+    "            \n",
+    "            # Проверка сходимости\n",
+    "            if i % 100 == 0:\n",
+    "                loss = self._loss(h, y)\n",
+    "                if hasattr(self, 'prev_loss') and np.abs(self.prev_loss - loss) < self.tol:\n",
+    "                    break\n",
+    "                self.prev_loss = loss\n",
+    "    \n",
+    "    def predict_proba(self, X):\n",
+    "        return self._sigmoid(np.dot(X, self.weights) + self.bias)\n",
+    "    \n",
+    "    def predict(self, X, threshold=0.5):\n",
+    "        return (self.predict_proba(X) >= threshold).astype(int)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "841e2b68-ea29-440e-870f-c0eec84603e0",
+   "metadata": {},
+   "source": [
+    "## 2. Обучение и оценка модели"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "b9b5a815-9c0a-4fec-9d9c-7dcbe3d6a609",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy: 1.0\n",
+      "\n",
+      "Confusion Matrix:\n",
+      "[[113   0]\n",
+      " [  0  87]]\n",
+      "\n",
+      "Classification Report:\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      1.00      1.00       113\n",
+      "           1       1.00      1.00      1.00        87\n",
+      "\n",
+      "    accuracy                           1.00       200\n",
+      "   macro avg       1.00      1.00      1.00       200\n",
+      "weighted avg       1.00      1.00      1.00       200\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import accuracy_score, confusion_matrix, classification_report\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "\n",
+    "# Масштабирование данных\n",
+    "scaler = StandardScaler(with_mean=False)\n",
+    "X_train_scaled = scaler.fit_transform(X_train)\n",
+    "X_test_scaled = scaler.transform(X_test)\n",
+    "\n",
+    "# Создание и обучение модели\n",
+    "my_lr = MyLogisticRegression(learning_rate=0.1, max_iter=5000, C=1.0, penalty='l2')\n",
+    "my_lr.fit(X_train_scaled.toarray(), y_train)  # .toarray() для разреженных матриц\n",
+    "\n",
+    "# Предсказания\n",
+    "y_pred = my_lr.predict(X_test_scaled.toarray())\n",
+    "\n",
+    "# Оценка качества\n",
+    "print(\"Accuracy:\", accuracy_score(y_test, y_pred))\n",
+    "print(\"\\nConfusion Matrix:\")\n",
+    "print(confusion_matrix(y_test, y_pred))\n",
+    "print(\"\\nClassification Report:\")\n",
+    "print(classification_report(y_test, y_pred))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0a70fbb0-a055-4e5e-9da9-832febe013b6",
+   "metadata": {},
+   "source": [
+    "## 3. Подбор гиперпараметров"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "id": "8fe3cce8-7dfa-4539-b806-1d102860b34c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Best parameters: {'C': 0.1, 'learning_rate': 0.01, 'max_iter': 1000, 'penalty': 'l1'}\n",
+      "\n",
+      "Best model accuracy: 1.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.model_selection import GridSearchCV\n",
+    "\n",
+    "# Параметры для подбора\n",
+    "param_grid = {\n",
+    "    'learning_rate': [0.01, 0.1, 1],\n",
+    "    'C': [0.1, 1, 10],\n",
+    "    'penalty': ['l1', 'l2'],\n",
+    "    'max_iter': [1000, 5000]\n",
+    "}\n",
+    "\n",
+    "# Сеточный поиск\n",
+    "grid_search = GridSearchCV(MyLogisticRegression(), param_grid, cv=5, scoring='accuracy')\n",
+    "grid_search.fit(X_train_scaled.toarray(), y_train)\n",
+    "\n",
+    "# Лучшие параметры\n",
+    "print(\"Best parameters:\", grid_search.best_params_)\n",
+    "best_my_lr = grid_search.best_estimator_\n",
+    "\n",
+    "# Оценка лучшей модели\n",
+    "y_pred_best = best_my_lr.predict(X_test_scaled.toarray())\n",
+    "print(\"\\nBest model accuracy:\", accuracy_score(y_test, y_pred_best))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ace461f0-5ca7-4201-a5ed-f2e08bea333b",
+   "metadata": {},
+   "source": [
+    "## 4. Сравнение с sklearn LogisticRegression"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "id": "5d2f00f0-d9e2-449a-ad08-854da1805629",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "My Logistic Regression Accuracy: 1.0\n",
+      "Sklearn Logistic Regression Accuracy: 1.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.linear_model import LogisticRegression\n",
+    "\n",
+    "# Обучение sklearn версии\n",
+    "sk_lr = LogisticRegression(penalty='l2', C=1.0, solver='liblinear', max_iter=5000)\n",
+    "sk_lr.fit(X_train_scaled, y_train)\n",
+    "y_pred_sk = sk_lr.predict(X_test_scaled)\n",
+    "\n",
+    "# Сравнение метрик\n",
+    "print(\"\\nMy Logistic Regression Accuracy:\", accuracy_score(y_test, y_pred))\n",
+    "print(\"Sklearn Logistic Regression Accuracy:\", accuracy_score(y_test, y_pred_sk))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "15a97285-d758-46e0-993b-2c5e5b13bfcc",
+   "metadata": {},
+   "source": [
+    "## 5. Визуализация результатов"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "id": "b295294b-a589-4180-bfde-5a89dc473995",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x500 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "\n",
+    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n",
+    "\n",
+    "# Confusion matrix для моей реализации\n",
+    "cm_my = confusion_matrix(y_test, y_pred)\n",
+    "sns.heatmap(cm_my, annot=True, fmt='d', cmap='Blues', ax=ax1,\n",
+    "            xticklabels=['Real', 'Fake'], yticklabels=['Real', 'Fake'])\n",
+    "ax1.set_title('My Logistic Regression')\n",
+    "\n",
+    "# Confusion matrix для sklearn\n",
+    "cm_sk = confusion_matrix(y_test, y_pred_sk)\n",
+    "sns.heatmap(cm_sk, annot=True, fmt='d', cmap='Blues', ax=ax2,\n",
+    "            xticklabels=['Real', 'Fake'], yticklabels=['Real', 'Fake'])\n",
+    "ax2.set_title('Sklearn Logistic Regression')\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/project/cleaned_fake_news.csv b/project/cleaned_fake_news.csv
new file mode 100644
index 00000000..f583168e
--- /dev/null
+++ b/project/cleaned_fake_news.csv
@@ -0,0 +1,19 @@
+title,text,label,text_length,title_length
+Government Announces New Education Reforms,The education ministry has proposed reforms to modernize the curriculum.,real,10,5
+Economy Shows Signs of Recovery,The new study conducted by international researchers shows walking improves heart health.,real,12,5
+Aliens Land in Central Park,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake,12,5
+Aliens Land in Central Park,The celebrity stated that secret documents reveal shocking information about the president.,fake,12,5
+New Study Reveals Health Benefits of Walking,The education ministry has proposed reforms to modernize the curriculum.,real,10,7
+Cure for Aging Discovered in Remote Village,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake,12,7
+Cure for Aging Discovered in Remote Village,The celebrity stated that secret documents reveal shocking information about the president.,fake,12,7
+Government Announces New Education Reforms,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real,15,5
+Economy Shows Signs of Recovery,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real,15,5
+Celebrity Reveals Secret Government Plans,The celebrity stated that secret documents reveal shocking information about the president.,fake,12,5
+Economy Shows Signs of Recovery,The education ministry has proposed reforms to modernize the curriculum.,real,10,5
+Cure for Aging Discovered in Remote Village,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake,16,7
+Celebrity Reveals Secret Government Plans,Sources claim that extraterrestrial beings were seen stepping out of a spaceship.,fake,12,5
+New Study Reveals Health Benefits of Walking,The new study conducted by international researchers shows walking improves heart health.,real,12,7
+Celebrity Reveals Secret Government Plans,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake,16,5
+New Study Reveals Health Benefits of Walking,Recent economic data shows that the GDP is steadily growing over the last two quarters.,real,15,7
+Government Announces New Education Reforms,The new study conducted by international researchers shows walking improves heart health.,real,12,5
+Aliens Land in Central Park,An isolated village claims its elders live up to 150 due to a secret herbal tea.,fake,16,5
diff --git a/project/processed_news_data.csv b/project/processed_news_data.csv
new file mode 100644
index 00000000..96577e94
--- /dev/null
+++ b/project/processed_news_data.csv
@@ -0,0 +1,1001 @@
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