AAAI Publications, Sixth International AAAI Conference on Weblogs and Social Media

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Visualizing Media Bias through Twitter
Jisun An, Meeyoung Cha, Krishna Gummadi, Jon Crowcroft, Daniele Quercia

Last modified: 2012-05-20


Traditional media outlets are known to report political news in a biased way, potentially affecting the political beliefs of the audience and even altering their voting behaviors. Therefore, tracking bias in everyday news and building a platform where people can receive balanced news information is important. We propose a model that maps the news media sources along a dimensional dichotomous political spectrum using the co-subscriptions relationships inferred by Twitter links. By analyzing 7 million follow links, we show that the political dichotomy naturally arises on Twitter when we only consider direct media subscription. Furthermore, we demonstrate a real-time Twitter-based application that visualizes an ideological map of various media sources. 


news media; social media; media bias; social network analysis

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