Fake News Detection in Python
A collection of GNN-based fake news detection models.
CyberPunkOS is a virtual machine that incorporates several tools for Open Source Intelligence (OSINT) to dismantle Fake News
Final Year Fake News Detection using Machine learning Project with Report, PPT, Code, Research Paper, Documents and Video Explanation.
This project detects whether a news is fake or not using machine learning.
Fake News Detection by Learning Convolution Filters through Contextualized Attention
Fake News Detector Web Application
Full stack Fake News Detection using machine learning Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
Fake News Detection using Machine Learning Algorithms
PyTorch implementation for the FinerFact model in the AAAI 2022 paper Towards Fine-Grained Reasoning for Fake News Detection
Flask & Python - Fake news prediction using Machine Learning algorithms and Flask Framework.
Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.
Fake News Detection Using Recurrent Neural Networks (RNNs) & Long Short Term Memory (LSTM).
Fake News Detection in Python using Machine Learning
Checks for the Stance detection in a unlabeled news dataset.
Multiview Spatio-Temporal Learning with Dual Dynamic Graph Convolutional Networks for Rumor Detection
Formal implementation of Robust Domain Misinformation Detection via Multi-modal Feature Alignment
Detecting fake news articles by analyzing patterns in writing.
This is the repository of Pytorch code and dataset for paper "Learning from Fact-checkers: Analysis and Generation of Fact-checking Language", SIGIR 2019
This project is relevant to the media industry, news outlets, and social media platforms that are responsible for sharing news articles. Classifying news articles as real or fake can help these organizations improve their content moderation and reduce the spread of fake news.
Add a description, image, and links to the fakenewsdetection topic page so that developers can more easily learn about it.
To associate your repository with the fakenewsdetection topic, visit your repo's landing page and select "manage topics."