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Cited by 1,015

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Election Night’s Alright for Fighting: The Role of Emotions in Political Participation

Valentino, Nicholas A., Brader, Ted, Groenendyk, Eric W., Gregorowicz, Krysha, Hutchings, Vincent L.·2011·The Journal of Politics

Abstract

A large literature has established a persistent association between the skills and resources citizens possess and their likelihood of participating in politics. However, the short-term motivational forces that cause citizens to employ those skills and expend resources in one election but not the next have only recently received attention. Findings in political psychology suggest specific emotions may play an important role in mobilization, but the question of “which emotions play what role?” remains an important area of debate. Drawing on cognitive appraisal theory and the Affective Intelligence model, we predict that anger, more than anxiety or enthusiasm, will mobilize. We find evidence for the distinctive influence of anger in a randomized experiment, a national survey of the 2008 electorate, and in pooled American National Election Studies from 1980 to 2004.

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Metadata

Authors
Valentino, N. A., Brader, T., Groenendyk, E. W., Gregorowicz, K., & Hutchings, V. L.
Venue
The Journal of Politics
Published
2011-01
Volume
73
Issue
1
Pages
156-170
ISSN
  • 0022-3816 (ISSN-L)
  • 1468-2508
OpenAlex
W2132041136
Cited by
1,015
References
60
FWCI
122.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Election Night’s Alright for Fighting: The Role of Emotions in Political Participation. https://app.cochat.ai/papers/10.1017/s0022381610000939
The paper
Valentino, N. A., Brader, T., Groenendyk, E. W., Gregorowicz, K., & Hutchings, V. L. (2011). Election Night’s Alright for Fighting: The Role of Emotions in Political Participation. The Journal of Politics. https://doi.org/10.1017/s0022381610000939

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.