We present proppy, the first publicly available real-world, real-time propaganda detection system for online news, which aims at raising awareness, thus potentially limiting the impact of propaganda and helping fight disinformation. The system constantly monitors a number of news sources, deduplicates and clusters the news into events, and organizes the articles about an event on the basis of the likelihood that they contain propagandistic content. The system is trained on known propaganda sources using a variety of stylistic features. The evaluation results on a standard dataset show stateof-the-art results for propaganda detection.

Proppy: A system to unmask propaganda in online news / Barrón-Cedeño Alberto, Da San Martino Giovanni, Jaradat Israa, Nakov Preslav. - ELETTRONICO. - 33:(2019), pp. 9847-9848. (Intervento presentato al convegno AAAI Conference on Artificial Intelligence tenutosi a Honolulu, Hawaii nel January 27 – February 1, 2019) [10.1609/aaai.v33i01.33019847].

Proppy: A system to unmask propaganda in online news

Barrón-Cedeño Alberto
Primo
;
2019

Abstract

We present proppy, the first publicly available real-world, real-time propaganda detection system for online news, which aims at raising awareness, thus potentially limiting the impact of propaganda and helping fight disinformation. The system constantly monitors a number of news sources, deduplicates and clusters the news into events, and organizes the articles about an event on the basis of the likelihood that they contain propagandistic content. The system is trained on known propaganda sources using a variety of stylistic features. The evaluation results on a standard dataset show stateof-the-art results for propaganda detection.
2019
Proceedings of the AAAI Conference on Artificial Intelligence
9847
9848
Proppy: A system to unmask propaganda in online news / Barrón-Cedeño Alberto, Da San Martino Giovanni, Jaradat Israa, Nakov Preslav. - ELETTRONICO. - 33:(2019), pp. 9847-9848. (Intervento presentato al convegno AAAI Conference on Artificial Intelligence tenutosi a Honolulu, Hawaii nel January 27 – February 1, 2019) [10.1609/aaai.v33i01.33019847].
Barrón-Cedeño Alberto, Da San Martino Giovanni, Jaradat Israa, Nakov Preslav
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/789805
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