Polarization in the contemporary political and media landscape
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Scholars have made a conceptual distinction between issue polarization (an ideological, policy-based political divide) and affective polarization (dislike, distrust, and general animosity of political partisans toward the other political side).
“Scholars have made the conceptual distinction between issue polarization—an ideological, policy-based political divide, and affective polarization, i.e. dislike, distrust, and general animosity of political partisans toward the other political side (5, 61, 62).”
From Troll and divide: the language of online polarization (2022) · cites this paper as [62]
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Self-citation
- Authors
- Wilson, A. E., Parker, V. A., & Feinberg, M.
- Affiliations
- Wilfrid Laurier University (CA)
- University of Toronto (CA)
- Corresponding author
- Wilson, Anne E
- Venue
- Current Opinion in Behavioral Sciences
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 34
- Pages
- 223-228
- ISSN
- 2352-1546 (ISSN-L)
- OpenAlex
- W3058235320
- Cited by
- 220
- References
- 64
- Citations by year
- 2026: 32 · 2025: 49 · 2024: 56 · 2023: 33 · 2022: 32 · 2021: 17 · 2020: 1
- FWCI
- 21.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Opinion in Behavioral Sciences (publishedVersion)
- Funders
- Social Sciences and Humanities Research Council of Canada
- 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 › Communication › Social Media and Politics
- Keywords
- political polarization, affective polarization, ideological polarization, political elites, partisan media, social media dynamics
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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