Professor in Political Science and Computer and Information Science

David Lazer

More Voices Than Ever? Quantifying Media Bias in Networks

Peer Reviewed Computer Science Conference
Publication date: 
Yu-Ru Lin
James P. Bagrow
David Lazer
More Voices Than Ever? Quantifying Media Bias in Networks

Social media, such as blogs, are often seen as democratic entities that allow more voices to be heard than the conventional mass or elite media. Some also feel that social media exhibits a balancing force against the arguably slanted elite media. A systematic comparison between social and mainstream media is necessary but challenging due to the scale and dynamic nature of modern communicatiion. Here we propose empirical measures to quantify the extent and dynamics of social (blog) and mainstream (news) media bias. We focus on a particular form of bias---coverage quantity ---as applied to stories about the111th US Congress. We compare observed coverage of Members of Congress against a null model of unbiased coverage, testing for biases with respoect to political party, popular front runners, regions of the country, and more. Our measures suggest distinct characteristics in news and blog media. A simple generative model, in agreement with data, reveals differences in the process of coverage selection between the two media.

Research Areas TOC

Computational Social Science, Collective Cognition

Computational Social Science, 21st Century Democracy, Political Networks

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