A Link-based Approach to Detect Media Bias in News Websites

被引:12
作者
Aires, Victoria Patricia [1 ]
Nakamura, Fabiola G. [1 ]
Nakamura, Eduardo F. [1 ]
机构
[1] Fed Univ Amazonas UFAM, Inst Comp, Manaus, Amazonas, Brazil
来源
COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2019 ) | 2019年
关键词
media bias detection; news analysis; network analysis;
D O I
10.1145/3308560.3316460
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
News websites are currently one of the main sources of information. Like traditional media, these sources can have a bias in how they report news. This media bias can influence how people perceive events, political decisions, or discussions. In this paper, we describe a link-based approach to identify news websites with the same political orientation, i.e., characterize the bias of news websites, using network analysis techniques. After constructing a graph from a few seeds with previously known bias, we show that a community detection algorithm can identify groups formed by sources with the same political orientation.
引用
收藏
页码:742 / 745
页数:4
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