Analyzing the Impact of Filter Bubbles on Social Network Polarization

Uthsav Chitra · Christopher Musco

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Social Media and Politics Misinformation and Its Impacts Opinion Dynamics and Social Influence

Abstract

While social networks have increased the diversity of ideas and information available to users, they are also blamed for increasing the polarization of user opinions. Eli Pariser's "filter bubble" hypothesis [55] explains this counterintuitive phenomenon by linking user polarization to algorithmic filtering: to increase user engagement, social media companies connect users with ideas they are already likely to agree with, thus creating echo chambers of users with very similar beliefs.

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References

2011The Filter Bubble: What the Internet Is Hiding from You 2015Exposure to ideologically diverse news and opinion on Facebook 2005The political blogosphere and the 2004 U.S. election 2011The Politicization of Climate Change and Polarization in the American Public's Views of Global Warming, 2001–2010 2016Filter Bubbles, Echo Chambers, and Online News Consumption 2008Social Networks and Health 2010Polarization and Partisan Selective Exposure 2011Political Polarization on Twitter

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