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

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

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

TASS News scraper for extracting propaganda data quickly and on a large scale.

Единый Реестр Кремлеботов Ютуба

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.