US 2020 Election Study
Academic Research
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Journal Article
How deceptive online networks reached millions in the US 2020 elections
Nature Human Behaviour (2026)
Deceptive online networks are coordinated efforts that use identity deception to pursue strategic political or financial goals. During the US 2020 elections, these networks reached at least 37 million Facebook and 3 million Instagram users, representing 15% and 2% of the platforms’ active US adult users, respectively. Only 3 networks out of 49—1 network with explicitly political aims and 2 that appeared to use politics as a lure for profit—were responsible for over 70% of users reached. Notably, accounts unaffiliated with the networks played an important role in facilitating this reach by resharing content the three networks produced. Deceptive networks, regardless of whether their goals were political or financial, reached users who were older, more conservative, more frequently exposed to content from untrustworthy sources, and spent more time on Facebook.
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Working Paper
The Effect of Deactivating Facebook and Instagram on Users’ Emotional State
Working Paper, April 2025
We estimate the effect of social media deactivation on users’ emotional state in two large randomized experiments before the 2020 U.S. election. People who deactivated Facebook for the six weeks before the election reported a 0.060 standard deviation improvement in an index of happiness, depression, and anxiety, relative to controls who deactivated for just the first of those six weeks. People who deactivated Instagram for those six weeks reported a 0.041 standard deviation improvement relative to controls. Exploratory analysis suggests the Facebook effect is driven by people over 35, while the Instagram effect is driven by women under 25.
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