Code for "CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda Detection" (V. Blaschke, M. Korniyenko & S. Tureski, 2020)

[EMNLP 2023] Official repository of paper titled "Detecting Propaganda Techniques in Code-Switched Social Media Text"

Fine-grained Propaganda Detection at NLP4IF 2019

This is the repo for the NLP4IF workshop shared task at EMNLP 2019

WANLP 2022: Multilingual Multi-Granularity Network for Propaganda Detection

DETECTION OF PROPAGANDA TECHNIQUES IN NEWS ARTICLES

Hierarchical, multilingual, multimodal detection of persuasion techniques in memes (SemEval‑2024 Task 4), with a custom hierarchical loss and strong H‑F1 across 4 languages.

Telegram posts from Russian news, misinformation, and propaganda channels made during the first weeks of the 2022 Russian invasion of Ukraine.

An end-to-end pipeline for detecting propaganda in text. The model, built using GloVe word embeddings and a Multi-Layer Perceptron architecture, classifies sentences as "propaganda" or "non-propaganda". The project integrates training, model evaluation, serialization, and inference for streamlined deployment and usage.

Единый Реестр Кремлеботов Ютуба

Computationally analyzing propaganda network created amid a global pandemic and attempting to influence perceptions at a global scale- Proof of Concept