Mayor Pete is Smart and Elizabeth Warren is Unlikable? Coverage of Warmth and Competence Traits in the 2020 Democratic Presidential Primary

Abstract Past work on media coverage of candidates for political office has explored gender differences in quantity, substance, and tone with mixed results depending on the office, race, and context. We draw on the stereotype content model (SCM) to examine gendered patterns of media coverage of candidates on the trait dimensions of warmth and competence in the 2020 U.S. Democratic presidential primary. Combining Natural Language Processing and manual analysis of news, we find that female candidates receive more negative than positive warmth coverage, while male candidates receive more tonally balanced warmth coverage, which suggests that female leaders are penalized on the dimension of warmth. Additionally, white women received more warmth coverage than women of color and women of color receive more competence coverage than white women. The findings suggest news media may portray white women and women of color candidates as lacking gender congruent traits like warmth but may portray white women as possessing role congruent traits like competence.

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Publication Details

Journal
Politics & Gender
Published
2025-02-24
DOI
https://doi.org/10.1017/s1743923x25000091
Primary Topic
Gender Politics and Representation
Type
article
Field-Weighted Citation Impact
0.00
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article

Mayor Pete is Smart and Elizabeth Warren is Unlikable? Coverage of Warmth and Competence Traits in the 2020 Democratic Presidential Primary

Linda Beail, Meredith Conroy, Dhrumil Mehta, Ciera Hammond et al.
Politics & Gender
Gender Politics and Representation
article

Mayor Pete is Smart and Elizabeth Warren is Unlikable? Coverage of Warmth and Competence Traits in the 2020 Democratic Presidential Primary

Linda Beail, Meredith Conroy, Dhrumil Mehta, Ciera Hammond, Erin C. Cassese, Sean Long, Dominik Stecuła, A. Johri
article en

Abstract

Abstract Past work on media coverage of candidates for political office has explored gender differences in quantity, substance, and tone with mixed results depending on the office, race, and context. We draw on the stereotype content model (SCM) to examine gendered patterns of media coverage of candidates on the trait dimensions of warmth and competence in the 2020 U.S. Democratic presidential primary. Combining Natural Language Processing and manual analysis of news, we find that female candidates receive more negative than positive warmth coverage, while male candidates receive more tonally balanced warmth coverage, which suggests that female leaders are penalized on the dimension of warmth. Additionally, white women received more warmth coverage than women of color and women of color receive more competence coverage than white women. The findings suggest news media may portray white women and women of color candidates as lacking gender congruent traits like warmth but may portray white women as possessing role congruent traits like competence.

Politics & GenderVol. 21(4)
California State University System (US), Oregon State University (US), University of Michigan (US), The Ohio State University (US), Columbia University (US), University of Delaware (US), Point Loma Nazarene University (US)
Openalex Percentile: Top 95%
Gender Politics and Representation
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Mayor Pete is Smart and Elizabeth Warren is Unlikable? Coverage of Warmth and Competence Traits in the 2020 Democratic Presidential Primary — Linda Beail, Meredith Conroy, et al. · Politics & Gender (2025) | TGRS Research Map | TGRS