About

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.

What we are up to

Proppy

Proppy - Propaganda Detection

A demo of our system for detecting propagandistic news articles (at document level).

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Data Annotation

Techniques Annotation

We are annotating propagandistic techniques used in news articles; in collaboration with A Data Pro

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Workshop Proposal

ACL/EMNLP-IJCNLP/NAACL Workshop Proposal

We are proposing a workshop on Propaganda, hyperpartisanship and extreme bias detection in news.

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PUBLICATIONS

Proppy: A System to Unmask Propaganda in Online News

Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov. Demo paper to appear in the proceedings of the AAAI 2019 conference.

Proppy: Organizing News Coverage on the Basis of Their Propagandistic Content

Israa Jaradat, Alberto Barrón-Cedeño, Giovanni Da San Martino, Preslav Nakov. (Currently under review)

Team

Giovanni Da San Martino
Giovanni Da San Martino
Scientist @ QCRI
Alberto Barrón-Cedeño
Alberto Barrón-Cedeño
Scientist @ QCRI

Preslav Nakov
Preslav Nakov
Senior Scientist @ QCRI

Alumni

Israa Jaradat
Israa Jaradat
PhD student @ University of Texas at Arlington

 
 
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