We aim at developing tools to detect the use of propaganda in news articles and to analyse how propaganda and extremely-biased articles spread online.
Our goal is to provide tools that help both the reader and the journalist to reach an informed opinion about the facts. Our target is building robust machine learning systems capable of providing some form of explainability upon their decisions. The project started in early 2018 and is part of the Tanbih News Aggregator.
A demo of our system for detecting propagandistic news articles (at document level).Read More
We are proposing a workshop on Propaganda, hyperpartisanship and extreme bias detection in news.Read More
Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov. Demo paper to appear in the proceedings of the AAAI 2019 conference.
Israa Jaradat, Alberto Barrón-Cedeño, Giovanni Da San Martino, Preslav Nakov. (Currently under review)