Academic Research
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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.
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Journal Article
Like-Minded Sources On Facebook Are Prevalent But Not Polarizing
Nature, 2023
Many critics raise concerns about the prevalence of ‘echo chambers’ on social media and their potential role in increasing political polarization. However, the lack of available data and the challenges of conducting large-scale field experiments have made it difficult to assess the scope of the problem1,2. Here we present data from 2020 for the entire population of active adult Facebook users in the USA showing that content from ‘like-minded’ sources constitutes the majority of what people see on the platform, although political information and news represent only a small fraction of these exposures. To evaluate a potential response to concerns about the effects of echo chambers, we conducted a multi-wave field experiment on Facebook among 23,377 users for whom we reduced exposure to content from like-minded sources during the 2020 US presidential election by about one-third. We found that the intervention increased their exposure to content from cross-cutting sources and decreased exposure to uncivil language, but had no measurable effects on eight preregistered attitudinal measures such as affective polarization, ideological extremity, candidate evaluations and belief in false claims. These precisely estimated results suggest that although exposure to content from like-minded sources on social media is common, reducing its prevalence during the 2020 US presidential election did not correspondingly reduce polarization in beliefs or attitudes.
Reports & Analysis
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Analysis
Latinos Who Use Spanish-Language Social Media Get More Misinformation
That could affect their votes — and their safety from covid-19.
November 8, 2022
News & Commentary
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News
What CSMaP Experts Are Watching Ahead of the 2024 Election: Part Three
From Kamala Harris memes to the nationalization of elections to election denialism, part three of our new series highlights several areas we’re looking at this year.
July 31, 2024
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Policy
CSMaP Joins Letter Urging Meta to Maintain CrowdTangle
The letter, signed by more than 50 organizations and individuals, urges Meta to maintain full functionality of CrowdTangle, a critical tool used to investigate the flow of information on its platforms.
May 7, 2024