2020/05/31 by Wen Chen, Diogo Pacheco, Kai-Cheng Yang +1 · 1 citation
Computer Science · #cs.SI #cs.CY
paper · pdf · doi:10.1038/s41467-021-25738-6
published as Nat Commun 12, 5580 (2021) · 26 pages, 6 figures. Appendix: 10 pages, 5 figures and 4 tables
arxiv created 2021/07/20 · arxiv updated 2021/09/27
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.