Tanbih: Get To Know What You Are Reading
Yifan Zhang, Giovanni Da San Martino, Alberto Barr\'on-Cede\~no,, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat,, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James Glass, Preslav Nakov
TL;DR
Tanbih is a news aggregator that uses intelligent analysis tools to help readers understand news stories by providing insights into factuality, propaganda, bias, and stance, enhancing news comprehension.
Contribution
It introduces a comprehensive system that automatically analyzes news articles for propaganda, bias, and stance, offering detailed media profiles and event grouping.
Findings
Effective detection of propagandistic content
Accurate assessment of political bias and stance
Enhanced understanding of news credibility
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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Taxonomy
TopicsTopic Modeling · Advanced Text Analysis Techniques · Sentiment Analysis and Opinion Mining