Sex-­Typed Facial Cues, Partisanship and Support for Trump

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Abstract/Contents

Abstract
Voters make consequential assessments of politicians based on visual cues. Female Republican politicians are more likely to have stereotypically feminine facial features than their Democratic counterparts, and the relationship is strong enough that respondents can guess the political affiliation of the women with an accuracy that exceeded chance. I predicted that female, Trump-supporting Republicans holding office in 2016 would have the highest average of facial sex-typicality, followed by all female Republican elected officials. My prediction expected that female Democratic elected officials would have the relatively lowest score of sex-typicality. The averages of sex-typicality were suggestive that the hypothesis was correct, but the differences were statistically insignificant.

Description

Type of resource text
Date created 2017

Creators/Contributors

Author Byrnes, Caitlin
Advisor Iyengar, Shanto
Degree granting institution Stanford University, Department of Communication

Subjects

Subject Sex-typed facial cues
Subject gender
Subject politics
Subject Stanford University Department of Communication
Subject Donald Trump
Genre Thesis

Bibliographic information

Related Publication Carpinella, C. M. ,Hehman, E., Freeman, J. & Johnson, K. (2015): The Gendered Face of Partisan Politics: Consequences of Facial Sex Typicality for Vote Choice, Political Communication, DOI: 10.1080/10584609.2014.958260
Location https://purl.stanford.edu/zj731yx8146

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This work is licensed under a Creative Commons Attribution Non Commercial No Derivatives 3.0 Unported license (CC BY-NC-ND).

Preferred citation

Preferred Citation
Byrnes, Caitlin. (2017). Sex-­Typed Facial Cues, Partisanship and Support for Trump. Stanford Digital Repository. Available at: http://purl.stanford.edu/zj731yx8146

Collection

Masters Theses in Media Studies, Department of Communication, Stanford University

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