Exaggerated meta-perceptions predict intergroup hostility between American political partisans
Open accessAbstract
People's actions toward a competitive outgroup can be motivated not only by their perceptions of the outgroup, but also by how they think the outgroup perceives the ingroup (i.e., meta-perceptions). Here, we examine the prevalence, accuracy, and consequences of meta-perceptions among American political partisans. Using a representative sample ( n = 1,056) and a longitudinal convenience sample ( n = 2,707), we find that Democrats and Republicans equally dislike and dehumanize each other but think that the levels of prejudice and dehumanization held by the outgroup party are approximately twice as strong as actually reported by a representative sample of Democrats and Republicans. Overestimations of negative meta-perceptions were consistent across samples over time and between demographic subgroups but were modulated by political ideology: More strongly liberal Democrats and more strongly conservative Republicans were particularly prone to exaggerate meta-perceptions. Finally, we show that meta-prejudice and meta-dehumanization are independently associated with the desire for social distance from members of the outgroup party and support for policies that harm the country and flout democratic norms to favor the ingroup political party. This research demonstrates that partisan meta-perceptions are subject to a strong negativity bias with Democrats and Republicans agreeing that the shadow of partisanship is much larger than it actually is, which fosters mutual intergroup hostilit…
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Political partisans tend to overestimate the amount of dislike rival partisans feel toward them, with negative meta-perceptions being linked with ideological extremity and anti-democratic attitudes.
“Specifically, this research finds that political partisans tend to overestimate the amount of dislike rival partisans feel toward them, with negative meta-perceptions being linked with ideological extremity and anti-democratic attitudes (Lees & Cikara, 2020; Moore-Berg et al., 2020).”
From Everyone I Don’t Like Is Biased: Affective Evaluations and the Bias Blind Spot (2026) · cites this paper as Moore-Berg et al., 2020
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The Origins and Consequences of Affective Polarization in the United States
Iyengar, S., Lelkes, Y., Levendusky, M., Malhotra, N., & Westwood, S. J. (2019) · Annual Review of Political Science · doi:10.1146/annurev-polisci-051117-073034 · Cited by 3,317 · see citing works
Dehumanization: An integrative review
Haslam, N. (2006) · Personality and Social Psychology Review · doi:10.1207/s15327957pspr1003_4 · Cited by 2,919 · see citing works
Iyengar, S., Sood, G., & Lelkes, Y. (2012) · Public Opinion Quarterly · doi:10.1093/poq/nfs038 · Cited by 2,748 · see citing works
Gray, H. M., Gray, K., & Wegner, D. M. (2007) · Science · doi:10.1126/science.1134475 · Cited by 2,342 · see citing works
Exposure to opposing views on social media can increase political polarization
Bail, C. A., Argyle, L. P., Brown, T. W., Bumpus, J. P., Chen, H., Hunzaker, M. B. F., Lee, J., Mann, M., Merhout, F., & Volfovsky, A. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1804840115 · Cited by 1,863 · see citing works
Kteily, N., Hodson, G., & Bruneau, E. (2016) · Journal of Personality and Social Psychology · doi:10.1037/pspa0000044 · Cited by 376 · see citing works
Self-citation(Mis)perceptions of Partisan Polarization in the American Public
Levendusky, M. S., & Malhotra, N. (2016) · Public Opinion Quarterly · doi:10.1093/poq/nfv045 · Cited by 356 · see citing works
Misperceptions in Intergroup Conflict: Disagreeing About What We Disagree About
Chambers, J. R., Baron, R. S., & Inman, M. L. (2006) · Psychological Science · doi:10.1111/j.1467-9280.2005.01662.x · Cited by 155 · see citing works
The prime psychological suspects of toxic political polarization
Moore-Berg, S. L., Hameiri, B., & Bruneau, E. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.05.001 · Cited by 83 · see citing works
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How social learning amplifies moral outrage expression in online social networks
Brady, W. J., McLoughlin, K., Doan, T. N., & Crockett, M. J. (2021) · Science Advances · doi:10.1126/sciadv.abe5641 · Cited by 375 · see citing works
Why voters who value democracy participate in democratic backsliding
Braley, A., Lenz, G. S., Adjodah, D., Rahnama, H., & Pentland, A. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01594-w · Cited by 138 · see citing works
Understanding and combating misperceived polarization
Lees, J., & Cikara, M. (2021) · Philosophical Transactions of the Royal Society B · doi:10.1098/rstb.2020.0143 · Cited by 113 · see citing works
The prime psychological suspects of toxic political polarization
Moore-Berg, S. L., Hameiri, B., & Bruneau, E. (2020) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2020.05.001 · Cited by 83 · see citing works
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Boxell, L., Conway, J., Druckman, J. N., & Gentzkow, M. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3785328 · Cited by 35 · see citing works
Norm Psychology in the Digital Age: How Social Media Shapes the Cultural Evolution of Normativity
Brady, W. J., & Crockett, M. J. (2024) · Perspectives on Psychological Science · doi:10.1177/17456916231187395 · Cited by 26 · see citing works
Culture wars, perception gap and affective polarization: an approach from the Spanish case
Rojo Martínez, J. M., Crespo Martínez, I., & Mora Rodríguez, A. (2023) · OBETS. Revista de Ciencias Sociales · doi:10.14198/obets.21976 · Cited by 7 · see citing works
Selection Neglect and Political Beliefs
Brundage, M., Little, A. T., & You, S. (2022) · doi:10.31219/osf.io/p49at · Cited by 7 · see citing works
Combs, A., Tierney, G., Guay, B., Merhout, F., Bail, C. A., Hillygus, D. S., & Volfovsky, A. (2022) · doi:10.31235/osf.io/cwgu5 · Cited by 5 · see citing works
Everyone I Don’t Like Is Biased: Affective Evaluations and the Bias Blind Spot
Walker, A. C., Collins, R. N., Walker, H. E. K., Fugelsang, J. A., & Mandel, D. R. (2026) · Personality and Social Psychology Bulletin · doi:10.1177/01461672261439247 · Cited by 2 · see citing works
Measuring affective polarization: Matching concepts to measures
Druckman, J. N., Klar, S., Krupnikov, Y., Levendusky, M., & Ryan, J. B. (2026) · Political Psychology · doi:10.1111/pops.70152 · Cited by 1 · see citing works
- Authors
- Moore-Berg, S. L., Ankori-Karlinsky, L.-O., Hameiri, B., & Bruneau, E.
- Affiliations
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, PA 19104;
- Beyond Conflict (US)
- Tel Aviv University (IL)
- Corresponding author
- Bruneau, Emile
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2020-06-11
- Volume
- 117
- Issue
- 26
- Pages
- 14864-14872
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC7334646
- OpenAlex
- W3034953836
- Cited by
- 281
- References
- 9
- Citations by year
- 2026: 37 · 2025: 48 · 2024: 47 · 2023: 72 · 2022: 44 · 2021: 23 · 2020: 9 · 2019: 1
- FWCI
- 49.46
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- OSF Preprints (OSF Preprints) (submittedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Psychology of Moral and Emotional Judgment
- Keywords
- metaperception, intergroup hostility, partisanship, negativity bias, social distance, political ideology, Democrats and Republicans, democratic norms
- MeSH terms
- Adult, Attitude, Female, Hostility, Humans, Male, Middle Aged, Motivation, Politics, Prejudice, United States, Models, Statistical, Dehumanization
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