articleScienceJul 27, 2023Closed access

How do social media feed algorithms affect attitudes and behavior in an election campaign?

Princeton University · Stanford University · +16 more institutions

PubMed
Indexed incrossrefpubmed

Abstract

We investigated the effects of Facebook's and Instagram's feed algorithms during the 2020 US election. We assigned a sample of consenting users to reverse-chronologically-ordered feeds instead of the default algorithms. Moving users out of algorithmic feeds substantially decreased the time they spent on the platforms and their activity. The chronological feed also affected exposure to content: The amount of political and untrustworthy content they saw increased on both platforms, the amount of content classified as uncivil or containing slur words they saw decreased on Facebook, and the amount of content from moderate friends and sources with ideologically mixed audiences they saw increased on Facebook.…

Citation impact

288
total citations
FWCI
129.06
Percentile
100%
References
64
Citations per year

Authors

29

Topics & keywords

Keywords
  • Ideology
  • Social media
  • Politics
  • Algorithm
  • Content (measure theory)
  • Affect (linguistics)
  • Polarization (electrochemistry)
  • Computer science
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