Social Media, News Consumption, and Polarization: Evidence from a Field Experiment
Open accessAbstract
Does the consumption of ideologically congruent news on social media exacerbate polarization? I estimate the effects of social media news exposure by conducting a large field experiment randomly offering participants subscriptions to conservative or liberal news outlets on Facebook. I collect data on the causal chain of media effects: subscriptions to outlets, exposure to news on Facebook, visits to online news sites, and sharing of posts, as well as changes in political opinions and attitudes. Four main findings emerge. First, random variation in exposure to news on social media substantially affects the slant of news sites that individuals visit. Second, exposure to counter-attitudinal news decreases negative attitudes toward the opposing political party. Third, in contrast to the effect on attitudes, I find no evidence that the political leanings of news outlets affect political opinions. Fourth, Facebook’s algorithm is less likely to supply individuals with posts from counter-attitudinal outlets, conditional on individuals subscribing to them. Together, the results suggest that social media algorithms may limit exposure to counter-attitudinal news and thus increase polarization. (JEL C93, D72, L82)
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Facebook's algorithm at present appears to produce echo chambers in which people are less likely to see counterattitudinal content.
“Facebook’s algorithm at present appears to produce echo chambers in which people are less likely to see counterattitudinal content (Levy, 2021).”
From Stories in Action. (2022) · cites this paper as Levy, 2021
It is neither clear what level of homophily in social networks is desirable or undesirable in a democratic society, nor clear how to interpret results of certain studies on polarization whose findings depend on whether one assumes social media increased or decreased exposure to opposing views relative to an offline benchmark.
“For instance, it is neither clear what level of homophily in social networks is desirable or undesirable in a democratic society, nor is it clear how to interpret the results of certain studies on polarization69,130, whose findings depend on whether one assumes that social media have increased or decreased exposure to opposing views relative to some offline benchmark.”
From A systematic review of worldwide causal and correlational evidence on digital media and democracy (2022) · cites this paper as [130]
If exposure to opposing views is increased on social media, the conclusion of one study would be that it reduces polarization, but if exposure is decreased, one would come to the opposite conclusion.
“For example, if exposure to opposing views is increased on social media, the conclusion of one study130 would be that it reduces polarization, but if exposure is decreased, one would come to the opposite conclusion.”
From A systematic review of worldwide causal and correlational evidence on digital media and democracy (2022) · cites this paper as [130]
In another experiment, thousands of Facebook users were randomly assigned to subscribe to liberal or conservative news outlets for at least two weeks; results confirmed that Facebook's algorithm limits exposure to counter-attitudinal news in general, but when participants were assigned to receive counter-attitudinal news they were willing to read and share it.
“In another experiment, thousands of Facebook users were randomly assigned to subscribe to liberal or conservative news outlets for at least two weeks259. Results of the study confirmed that Facebook’s algorithm limits exposure to counter-attitudinal news in general, but when participants were assigned to receive counter-attitudinal news they were willing to read and share it.”
From Cognitive–motivational mechanisms of political polarization in social-communicative contexts (2022) · cites this paper as [259]
Large-scale field experiments aimed at reducing polarization by intervening on the feed algorithm have found both a decrease and an increase in polarization.
“However, large-scale field experiments aimed at reducing polarization by intervening on the feed algorithm-for example, by increasing exposure to out-party content-have found both a decrease (35) and an increase (36) in polarization.”
From Reranking partisan animosity in algorithmic social media feeds alters affective polarization (2025) · cites this paper as [35]
In social networks, maximizing user engagement may be achieved by promoting content congruent with users' past engagement or ingroup attitudes, or content that humans inherently attend to, such as emotionally and morally charged content.
“In social networks, this may be achieved by promoting content congruent with users' past engagement or ingroup attitudes 134 , or content that humans inherently attend to, such as emotionally and morally charged content 135,136 .”
From Machine culture (2023) · cites this paper as [135]
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References 62 · Cited by 624
- Authors
- Levy, R.
- Affiliations
- Massachusetts Institute of Technology (email: )
- Venue
- American Economic Review
- Publisher
- American Economic Association
- Published
- 2021-03-01
- Volume
- 111
- Issue
- 3
- Pages
- 831-870
- ISSN
- 0002-8282 (ISSN-L)
- OpenAlex
- W3134323617
- Cited by
- 624
- References
- 62
- Citations by year
- 2026: 106 · 2025: 125 · 2024: 115 · 2023: 111 · 2022: 108 · 2021: 43 · 2020: 11 · 2019: 3 · 2018: 1
- FWCI
- 130.61
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- American Economic Review (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Keywords
- social media, news consumption, political polarization, ideological echo chambers, Facebook, algorithmic curation, political attitudes, online news sharing, media influence
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