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Visualizing Media Bias through Twitter

Authors

Jisun An,Meeyoung Cha,Krishna Gummadi,Jon Crowcroft,Daniele Quercia

University of Cambridge,Korea Advanced Institute of Science and Technology,Max Planck Institute for Software Systems,University of Cambridge,University of Cambridge


Proceedings:

Proceedings of the International AAAI Conference on Web and Social Media, 6

Volume

Issue:

Vol. 6 No. 2 (2012): ICWSM Workshop Technical Report WS-12-01 (The Potential of Social Media Tools and Data for Journalists in the News Media Industry)

Track:

The Potential of Social Media Tools and Data for Journalists

Downloads:

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Abstract:

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.

DOI:

10.1609/icwsm.v6i2.14343


ICWSM

Vol. 6 No. 2 (2012): ICWSM Workshop Technical Report WS-12-01 (The Potential of Social Media Tools and Data for Journalists in the News Media Industry)