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Cited by 308

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

"Happy Warriors": Leaders' Facial Displays, Viewers' Emotions, and Political Support

Sullivan, Denis G., Masters, Roger D.·1988·American Journal of Political Science

Abstract

Do facial gestures of leaders elicit emotional responses that have important effects on public attitudes? Using a research design based on social psychology and ethology, videotaped excerpts of all candidates in the 1984 presidential election were carefully selected and shown to experimental groups in January and October 1984. Neutral and happy/reassuring facial displays of different candidates were found to vary in the emotions they elicited. For both samples, changes in viewers' attitudes were more likely to be influenced by the emotional responses to happy/reassuring displays than by such cognitive variables as party identification, issue agreement, or assessment of leadership ability. Since this effect was found whether excerpts were seen with or without the sound, viewers' emotional reactions cannot be attributed to verbal messages or paravocal cues.

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Metadata

Authors
Sullivan, D. G., & Masters, R. D.
Venue
American Journal of Political Science
Publisher
JSTOR
Published
1988-05
Volume
32
Issue
2
Pages
345
ISSN
0092-5853 (ISSN-L)
OpenAlex
W2319970280
Cited by
308
References
23
FWCI
69.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: "Happy Warriors": Leaders' Facial Displays, Viewers' Emotions, and Political Support. https://app.cochat.ai/papers/10.2307/2111127
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Sullivan, D. G., & Masters, R. D. (1988). "Happy Warriors": Leaders' Facial Displays, Viewers' Emotions, and Political Support. American Journal of Political Science. https://doi.org/10.2307/2111127

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.