Cited by 134Experimental Behavioral Economics StudiesElectoral Systems and Political ParticipationSocial Power and Status Dynamics

The politics of interpersonal trust and reciprocity: An experimental approach

Carlin, Ryan E., Love, Gregory J.·2013·Political Behavior

Integrity signals

Registry

Crossref · 10.1007/s11109-011-9181-x

Cites

129 of 129 references verified0 citation errors · 0 not checkable

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  • Copartisans consistently receive a bonus while opposing partisans are subject to a financial penalty in economic games.

    “Results show that copartisans consistently receive a bonus while opposing partisans are subject to a financial penalty.”

    From The Origins and Consequences of Affective Polarization in the United States (2019) · cites this paper as Carlin & Love 2013

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Authors
Carlin, R. E., & Love, G. J.
Affiliations
  • Georgia State University (US)
  • University of Mississippi (US)
Corresponding author
Carlin, Ryan E.
Venue
Political Behavior
Published
2011-11-03
Volume
35
Issue
1
Pages
43-63
ISSN
  • 0190-9320 (ISSN-L)
  • 1573-6687
OpenAlex
W2075001381
Cited by
132
References
134
Citations by year
2026: 8 · 2025: 9 · 2024: 11 · 2023: 16 · 2022: 8 · 2021: 13 · 2020: 6 · 2019: 5 · 2018: 22 · 2017: 9 · 2016: 9 · 2015: 9 · 2014: 2 · 2013: 5
FWCI
5.38
Type
journal article
Language
en
Open access
closed
Locations
Political Behavior (publishedVersion)
Topics
  • Social Sciences › Safety Research › Experimental Behavioral Economics Studies
  • Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
  • Social Sciences › Sociology and Political Science › Social Power and Status Dynamics
Keywords
interpersonal trust, reciprocity, partisanship, social identity theory, cognitive heuristics, dual-process models, trust game, deservingness, public trust in government

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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.

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