Published February 2010 | Version public
Journal Article

Predicting Election Outcomes from Positive and Negative Trait Assessments of Candidate Images

  • 1. ROR icon University of Iowa
  • 2. ROR icon Korea University
  • 3. ROR icon Princeton University
  • 4. ROR icon California Institute of Technology

Abstract

Conventional wisdom, and a growing body of behavioral research, suggests that the nonverbal image of a candidate influences voter decision making. We presented subjects with images of political candidates and asked them to make four trait judgments based solely on viewing the photographs. Subjects were asked which of the two faces exhibited more competence, attractiveness, deceitfulness, and threat, which are arguably four of the most salient attributes that can be conveyed by faces. When we compared our subjects' choices to the actual election outcomes, we found that the candidates chosen as more likely to physically threaten the subjects actually lost 65% of the real elections. As expected, our findings support the conclusions of Todorov, Mandisodza, Goren, and Hall (2005) by showing a positive correlation between the competence judgments and the real election outcomes. Surprisingly, attractiveness was correlated with losing elections, with the effect being driven by faces of candidates who looked politically incompetent yet personally attractive. Our findings have implications for future research on negative political communication, as they suggest that both threatening first impressions and fleeting impressions of attractiveness can harm a candidate's electoral chances.

Additional Information

© 2009 International Society of Political Psychology. This research was supported in part by a CBIC Discovery Grant, with funding derived in part from The Gordon and Betty Moore Foundation.

Additional details

Identifiers

Eprint ID
17478
Resolver ID
CaltechAUTHORS:20100216-094805100

Funding

Caltech Brain Imaging Center
Gordon and Betty Moore Foundation

Dates

Created
2010-02-17
Created from EPrint's datestamp field
Updated
2021-11-08
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