Tanbih: Get To Know What You Are Reading

October 04, 2019 ยท Declared Dead ยท ๐Ÿ› Conference on Empirical Methods in Natural Language Processing

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Authors Yifan Zhang, Giovanni Da San Martino, Alberto Barrรณn-Cedeรฑo, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James Glass, Preslav Nakov arXiv ID 1910.02028 Category cs.CL: Computation & Language Cross-listed cs.IR Citations 33 Venue Conference on Empirical Methods in Natural Language Processing Last Checked 4 months ago
Abstract
We introduce Tanbih, a news aggregator with intelligent analysis tools to help readers understanding what's behind a news story. Our system displays news grouped into events and generates media profiles that show the general factuality of reporting, the degree of propagandistic content, hyper-partisanship, leading political ideology, general frame of reporting, and stance with respect to various claims and topics of a news outlet. In addition, we automatically analyse each article to detect whether it is propagandistic and to determine its stance with respect to a number of controversial topics.
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