More Voices Than Ever? Quantifying Media Bias in Networks

Authors

  • Yu-Ru Lin Harvard University and Northeastern University
  • James Bagrow Northeastern University and Harvard University
  • David Lazer Northeastern University and Harvard University

Abstract

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.

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Published

2021-08-03

How to Cite

Lin, Y.-R., Bagrow, J., & Lazer, D. (2021). More Voices Than Ever? Quantifying Media Bias in Networks. Proceedings of the International AAAI Conference on Web and Social Media, 5(1), 193-200. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/14128