The DOI matches its Crossref record; 113 of the 113 references it cites were found in a registry or an index.
Pluralistic Collapse: The “Oil Spill” Model of Mass Opinion Polarization
Abstract
Despite widespread feeling that public opinion in the United States has become dramatically polarized along political lines, empirical support for such a pattern is surprisingly elusive. Reporting little evidence of mass polarization, previous studies assume polarization is evidenced via the amplification of existing political alignments. This article considers a different pathway: polarization occurring via social, cultural, and political alignments coming to encompass an increasingly diverse array of opinions and attitudes. The study uses 44 years of data from the General Social Survey representing opinions and attitudes across a wide array of domains as elements in an evolving belief network. Analyses of this network produce evidence that mass polarization has increased via a process of belief consolidation, entailing the collapse of previously cross-cutting alignments, thus creating increasingly broad and encompassing clusters organized around cohesive packages of beliefs. Further, the increasing salience of political ideology and partisanship only partly explains this trend. The structure of U.S. opinion has shifted in ways suggesting troubling implications for proponents of political and social pluralism.
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“This, in turn, will potentially contribute to what prior work described as pluralistic collapse (DellaPosta et al., 2015; DellaPosta, 2020).”
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Bock, S., & Schnabel, L. (2021) · Socius Sociological Research for a Dynamic World · doi:10.1177/23780231211057322 · Cited by 3
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InfluentialBubble reachers and uncivil discourse in polarized online public sphere
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Chen, Y., Speer, A., de Bruin, B., Carpentras, D., & Warncke, P. (2025) · Network Science · doi:10.1017/nws.2025.10016 · Cited by 1
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InfluentialSmith, J., & Tran, J. (2026) · Religious Studies Review · doi:10.1111/rsr.70427 · Cited by 1
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(2022) · Cambridge University Press eBooks · doi:10.1017/9781108779104.001 · Cited by 1
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de Oteyza, M. O. G., & Marcos, I. C. (2023) · Comunicación y Sociedad · doi:10.32870/cys.v2023.8418 · Cited by 1
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Shepherd, H. R., & Hoagland, B. (2025) · Handbooks of sociology and social research · doi:10.1007/978-3-031-93042-3_16 · Cited by 1
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Dimant, E., Gelfand, M. J., Hochleitner, A., & Sonderegger, S. (2026) · CESifo · doi:10.65864/qm9asidtr3
Susceptibility to Moral Arguments Among Liberals and Conservatives
Jansson, F., & Strimling, P. (2025) · Public Opinion Quarterly · doi:10.1093/poq/nfaf045 · Cited by 1
“…increased party sorting, with moral views becoming more tightly connected to ideology, and increased polarization in elite rhetoric, there is less evidence for opinions becoming markedly more polarized in the general public (Fiorina and Abrams 2008; Hill and Tausanovitch 2015; DellaPosta 2020).”
“They Saw an Arrest”: Situation Definition, Polarization, and Affect Control Theory
Jacobs, S., & Combs, A. (2025) · Emerald Group Publishing Limited eBooks · doi:10.1108/s0882-614520250000042004
Why moderate voters choose extreme candidates: voter uncertainty as a driver of elite polarization
Kim, M. J., DellaPosta, D., & Essig, L. W. (2025) · Social Forces · doi:10.1093/sf/soaf199
Self-citationThe desire to avoid cognitive dissonance drives community formation in a social network model
Kovács, Z., Palla, G., & Zafeiris, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-31643-5 · Cited by 2
“Similar models for the belief systems were already introduced by research communities interested in opinion dynamics, most prominently, but not exclusively 41 , by those aiming to simulate the dynamics of political attitudes 38–40, 83,84 .”
Striking a Political Balance? Political Polarization and Firm Innovation
Castiglia, L. (2025) · Journal of Management · doi:10.1177/01492063251389882 · Cited by 1
Generating the Past: How Artificial Intelligence Summaries of Historical Events Affect Knowledge
Karell, D., Shu, M., Davidson, T., & Okura, K. (2025) · Social Science Computer Review · doi:10.1177/08944393251409744 · Cited by 1
ResIN: A New Method to Analyze Socio-political Attitude Systems
Warncke, P., Chen, Y., Speer, A., de Bruin, B., Lueders, A., & Carpentras, D. (2026) · Computational social sciences · doi:10.1007/978-3-032-01373-6_5
Framing Effects in Informal Communication Networks and the Problem of Embeddedness
Dokshin, F. A., & Parker, S. (2026) · Social Psychology Quarterly · doi:10.1177/01902725261418323
“3 Modularity is commonly used to measure the extent to which members of a group favor connections to fellow group members (e.g., co-partisans) above what would be expected by random chance based on the observed degree distribution (e.g., DellaPosta 2020).”
Konechni, B. A. (2026) · American Sociological Review · doi:10.1177/00031224251415372
“…was indicative of a preexisting medical and institutional distrust (Cole, Schofer, and Velasco 2023; Zapp 2022)—a self-sorting into partisan groups and like-minded communities (Bonikowski, Feinstein, and Bock 2021; DellaPosta 2020; Estep and Greenberg 2020)—my findings suggest the opposite.”
Metadata
- Authors
- DellaPosta, D.
- Affiliations
- Pennsylvania State University (US)
- Corresponding author
- DellaPosta, Daniel
- ORCID
- DellaPosta, Daniel
- Venue
- American Sociological Review
- Publisher
- SAGE Publications
- Published
- 2020-06
- Volume
- 85
- Issue
- 3
- Pages
- 507-536
- ISSN
- 0003-1224 (ISSN-L)
- 1939-8271
- OpenAlex
- W3034108861
- Semantic Scholar
- 866357ade0b940c5aa010a94bd27d7287d4132a0
- Cited by
- 219
- References
- 113
- Citations by year
- 2026: 31 · 2025: 53 · 2024: 46 · 2023: 27 · 2022: 32 · 2021: 20 · 2020: 9
- FWCI
- 76.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Sociological Review (publishedVersion)
- Topics
- Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Social Sciences › Communication › Social Media and Politics
- Keywords
- Bayesian networks, political ideology, partisanship, pluralism, opinion change, General Social Survey
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