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Political Polarization in the American Public
Abstract
For more than two decades political scientists have discussed rising elite polarization in the United States, but the study of mass polarization did not receive comparable attention until fairly recently. This article surveys the literature on mass polarization. It begins with a discussion of the concept of polarization, then moves to a critical consideration of different kinds of evidence that have been used to study polarization, concluding that much of the evidence presents problems of inference that render conclusions problematic. The most direct evidence—citizens' positions on public policy issues—shows little or no indication of increased mass polarization over the past two to three decades. Party sorting—an increased correlation between policy views and partisan identification—clearly has occurred, although the extent has sometimes been exaggerated. Geographic polarization—the hypothesized tendency of like-minded people to cluster together—remains an open question. To date, there is no conclusive evidence that elite polarization has stimulated voters to polarize, on the one hand, or withdraw from politics, on the other.
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“Given that distinct manifestations of polarization exhibit different patterns and induce distinct, often opposite causal mechanisms, this conceptual proliferation and inconsistency have resulted in significant confusion both in public discourse and academia (Fiorina & Abrams, 2008;Lelkes, 2016).”
From Political polarization and corruption: A theoretical and empirical review (2024) · cites this paper as Fiorina & Abrams, 2008
In the citing paper
“For example, there is a strong consensus among scholars of politics in the USA that liberal and conservative political elites (including members of Congress, party activists, donors and judicial appointees) have grown increasingly polarized over the past few decades27–34.”
From Cognitive–motivational mechanisms of political polarization in social-communicative contexts (2022) · cites this paper as [29]
In the citing paper
“First, issue or ideological polarization (Fig. 1a) is characterized as moving towards the extremes and away from the centre with respect to issues and/or ideology29.”
From Cognitive–motivational mechanisms of political polarization in social-communicative contexts (2022) · cites this paper as [29]
In the citing paper
“The pattern that emerges is consistent with previous findings in the literature on elite and mass political polarization in the United States (Fiorina and Abrams 2008).”
From Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data (2015) · cites this paper as Fiorina and Abrams 2008
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Metadata
- Authors
- Fiorina, M. P., & Abrams, S. J.
- Affiliations
- Stanford University (US)
- Harvard University (US)
- Venue
- Annual Review of Political Science
- Publisher
- Annual Reviews
- Published
- 2008-06-01
- Volume
- 11
- Issue
- 1
- Pages
- 563-588
- ISSN
- 1094-2939 (ISSN-L)
- 1545-1577
- OpenAlex
- W2137029365
- Semantic Scholar
- d77391948f4ae487ef3c22ad48cf579f6a7fcd61
- Cited by
- 1,798
- References
- 90
- Citations by year
- 2026: 83 · 2025: 149 · 2024: 172 · 2023: 175 · 2022: 140 · 2021: 191 · 2020: 185 · 2019: 194 · 2018: 119 · 2017: 88 · 2016: 80 · 2015: 65 · 2014: 59 · 2013: 31 · 2012: 25
- FWCI
- 31.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Political Science (publishedVersion)
- Topics
- Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Social Sciences › Political Science and International Relations › Political Theory and Democracy
- Keywords
- mass polarization, elite polarization, public opinion, party identification, policy positions, voter turnout, political attitudes
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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