Group polarization: A critical review and meta-analysis.
Abstract
This article critically reviews recent (1974–1982) group polarization studies that address themselves to either one of the two primary explanatory mechanisms thought to underly group polarization, namely social comparison and persuasive argumentation processes. A summary of the effect sizes of 21 pu
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Repulsive interactions combined with homophily lead to a decrease of polarization.
“Another class of models describe polarization by introducing repulsive interactions, in which users reject opinions that differ from their own [24-26], but this mechanism combined with homophily leads to a decrease of polarization [27, 28].”
From Modeling echo chambers and polarization dynamics in social networks (2020) · cites this paper as [28]
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Risk Preference Differentials of Small Groups and Individuals
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Contagious Justice: Exploring The Social Construction of Justice in Organizations
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Group Behavior and Performance
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- Authors
- Isenberg, D. J.
- Affiliations
- Harvard University (US)
- Corresponding author
- Isenberg, Daniel J.
- Venue
- Journal of Personality and Social Psychology
- Published
- 1986-06
- Volume
- 50
- Issue
- 6
- Pages
- 1141-1151
- ISSN
- 0022-3514 (ISSN-L)
- 1939-1315
- OpenAlex
- W2042714524
- Cited by
- 1,044
- References
- 62
- Citations by year
- 2026: 23 · 2025: 27 · 2024: 42 · 2023: 51 · 2022: 62 · 2021: 67 · 2020: 71 · 2019: 43 · 2018: 43 · 2017: 53 · 2016: 44 · 2015: 43 · 2014: 43 · 2013: 42 · 2012: 66
- FWCI
- 23.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Personality and Social Psychology (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
- Social Sciences › Sociology and Political Science › Psychology of Social Influence
- Keywords
- group polarization, social comparison, persuasive argumentation, group decision making, effect size
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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