The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
When Gender and Party Collide: Stereotyping in Candidate Trait Attribution
Abstract
Research has shown that voters are willing to stereotype candidates on the basis of their gender, which can sometimes pose obstacles and sometimes prove advantageous for female politicians. But the literature is uncertain about how candidate gender interacts with candidate party affiliation to shape voters' perceptions. In this article, I draw on political psychology, the women and politics literature, and recent work on partisan “trait ownership” to suggest that the application of gender stereotypes will be limited by the salience of partisan stereotypes. I use nationally representative survey data and a content analysis of news coverage from the 2006 U.S. Senate elections to test the argument. Focusing on voter evaluations of candidate traits, I find that party stereotypes are more powerful than gender stereotypes, and that assessments of candidate attributes can be affected by news coverage when candidates are portrayed in ways that challenge traditional partisan images. The results suggest that gender stereotyping is limited by the relevance of party stereotypes, and that as the Republican and Democratic parties continue to polarize at the elite level, the importance of partisan stereotyping is likely to increase.
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Cites
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Cited by
Measuring Stereotypes of Female Politicians
Schneider, M. C., & Bos, A. L. (2014) · Political Psychology · doi:10.1111/pops.12040 · Cited by 454
Bauer, N. M. (2015) · Political Psychology · doi:10.1111/pops.12186 · Cited by 377
Terrorist Threat, Male Stereotypes, and Candidate Evaluations
Holman, M. R., Merolla, J. L., & Zechmeister, E. J. (2016) · Political Research Quarterly · doi:10.1177/1065912915624018 · Cited by 285
The Application of Social Role Theory to the Study of Gender in Politics
Schneider, M. C., & Bos, A. L. (2019) · Political Psychology · doi:10.1111/pops.12573 · Cited by 240
Metadata
- Authors
- Hayes, D.
- Venue
- Politics & Gender
- Publisher
- Cambridge University Press (CUP)
- Published
- 2011-06
- Volume
- 7
- Issue
- 2
- Pages
- 133-165
- ISSN
- 1743-923X (ISSN-L)
- 1743-9248
- OpenAlex
- W1975057506
- Cited by
- 307
- References
- 69
- FWCI
- 18.36
- Type
- journal article
- Language
- en
- Open access
- closed
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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.