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Looking Like a Winner

Candidate Appearance and Electoral Success in New Democracies

Bibliographic Data

ID6410331
AuthorsChappell Lawson (0000-0002-8174-8728, Massachusetts Institute of Technology), Gabriel S Lenz (0000-0001-7844-6027, Massachusetts Institute of Technology), Andy Baker (0000-0002-1552-6166), Michael Myers (0000-0001-8525-6395, Massachusetts Institute of Technology)
Year2010
Volume62
Issue4
Pages561-593
Publication date2010-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueWorld Politics (JOURNAL)
Journal identifiersISSN: 0043-8871 • E-ISSN: 1086-3338
PublisherProject MUSE (PUBLISHER • US)
DOI10.1017/s0043887110000195
OpenAlexW2086117671
LanguageEN
Citations received110
References cited85

A flurry of recent studies indicates that candidates who simply look more capable or attractive are more likely to win elections. In this article, the authors investigate whether voters' snap judgments of appearance travel across cultures and whether they influence elections in new democracies. They show unlabeled, black-and-white pictures of Mexican and Brazilian candidates' faces to subjects living in America and India, asking them which candidates would be better elected officials. Despite cultural, ethnic, and racial differences, Americans and Indians agree about which candidates are superficially appealing (correlations ranging from .70 to .87). Moreover, these superficial judgments appear to have a profound influence on Mexican and Brazilian voters, as the American and Indian judgments predict actual election returns with surprising accuracy. These effects, the results also suggest, may depend on the rules of the electoral game, with institutions exacerbating or mitigating the effects of appearance

Demographic economics · Development economics · Economics · Ethnic group · Political economy · Political science · Race (biology · Sociology · White (mutation · Evolutionary Psychology and Human Behavior · Gender Studies · Law · Social and Cultural Dynamics · Social and Intergroup Psychology

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Unique citing works110
Citations per year7,33
Citation span2011 - 2026 (16)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 109

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