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Neutral bots probe political bias on social media

Political Science

Neutral bots probe political bias on social media

W. Chen, D. Pacheco, et al.

Explore the intriguing dynamics of political bias on social media as this research team, comprising Wen Chen, Diogo Pacheco, Kai-Cheng Yang, and Filippo Menczer, unveils how user interactions shape the news feed experience of U.S. Twitter users. Discover why conservative accounts are entrenched in denser networks with more exposure to low-credibility content while their liberal counterparts navigate a more centrist landscape.... show more
Abstract
Social media platforms attempting to curb abuse and misinformation have been accused of political bias. We deploy neutral social bots who start following different news sources on Twitter, and track them to probe distinct biases emerging from platform mechanisms versus user interactions. We find no strong or consistent evidence of political bias in the news feed. Despite this, the news and information to which U.S. Twitter users are exposed depend strongly on the political leaning of their early connections. The interactions of conservative accounts are skewed toward the right, whereas liberal accounts are exposed to moderate content shifting their experience toward the political center. Partisan accounts, especially conservative ones, tend to receive more followers and follow more automated accounts. Conservative accounts also find themselves in denser communities and are exposed to more low-credibility content.
Publisher
Nature Communications
Published On
Jul 22, 2021
Authors
Wen Chen, Diogo Pacheco, Kai-Cheng Yang, Filippo Menczer
Tags
social media
political bias
Twitter
news sources
user interactions
conservative accounts
liberal accounts
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