Computer Science – Social and Information Networks
Scientific paper
2011-11-04
Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM 2011), 17-21 July 2011, Barcelona, S
Computer Science
Social and Information Networks
10 Pages, 7 figures, appeared in ICWSM 2011
Scientific paper
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 communication. 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 the 111th US Congress. We compare observed coverage of Members of Congress against a null model of unbiased coverage, testing for biases with respect 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.
Bagrow James P.
Lazer David
Lin Yu-Ru
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