US 2020 Election Study
Academic Research
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Journal Article
The Diffusion and Reach of (Mis)Information on Facebook During the U.S. 2020 Election
Sociological Science, 2024
Social media creates the possibility for rapid, viral spread of content, but how many posts actually reach millions? And is misinformation special in how it propagates? We answer these questions by analyzing the virality of and exposure to information on Facebook during the U.S. 2020 presidential election. We examine the diffusion trees of the approximately 1 B posts that were re-shared at least once by U.S.-based adults from July 1, 2020, to February 1, 2021. We differentiate misinformation from non-misinformation posts to show that (1) misinformation diffused more slowly, relying on a small number of active users that spread misinformation via long chains of peer-to-peer diffusion that reached millions; non-misinformation spread primarily through one-to-many affordances (mainly, Pages); (2) the relative importance of peer-to-peer spread for misinformation was likely due to an enforcement gap in content moderation policies designed to target mostly Pages and Groups; and (3) periods of aggressive content moderation proximate to the election coincide with dramatic drops in the spread and reach of misinformation and (to a lesser extent) political content.
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Journal Article
The Effects of Facebook and Instagram on the 2020 Election: A Deactivation Experiment
Proceedings of the National Academy of Sciences, 2024
We study the effect of Facebook and Instagram access on political beliefs, attitudes, and behavior by randomizing a subset of 19,857 Facebook users and 15,585 Instagram users to deactivate their accounts for 6 wk before the 2020 U.S. election. We report four key findings. First, both Facebook and Instagram deactivation reduced an index of political participation (driven mainly by reduced participation online). Second, Facebook deactivation had no significant effect on an index of knowledge, but secondary analyses suggest that it reduced knowledge of general news while possibly also decreasing belief in misinformation circulating online. Third, Facebook deactivation may have reduced self-reported net votes for Trump, though this effect does not meet our preregistered significance threshold. Finally, the effects of both Facebook and Instagram deactivation on affective and issue polarization, perceived legitimacy of the election, candidate favorability, and voter turnout were all precisely estimated and close to zero.
News & Commentary
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News
2023 Year in Review: Our Research & Impact
A look at our top articles, events, and more from the past year.
December 18, 2023
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News
First Four Papers from US 2020 Facebook & Instagram Research Election Study Published in Science and Nature
Unprecedented research in the context of the 2020 presidential election reveals algorithms are extremely influential in people’s on-platform experiences and there is significant ideological segregation in political news exposure but, among consenting study participants, changes to critical aspects of the algorithms that determine what they saw did not sway political attitudes.
July 27, 2023