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Article
Automatic Evaluation of Faces Predict Mayor Election Outcomes in Brazil
Open Access Library Journal (2017)
  • Sergio Da Silva, Federal University of Santa Catarina
  • Joao Felipe De Novais, Federal University of Santa Catarina
Abstract
Elections can be decided on the basis of automatic evaluations of a candidate’s face that take less than one second. These inferences are specific to competence and they could predict better than chance 68.8 percent of the US Senate race results in 2004. Such a finding suggests fast, unreflective trait inferences can contribute to voting choices. We replicated this finding for the 2012 and 2016 municipal elections that took place in the southern Brazil state of Santa Catarina. Mayors could have been elected partially by automatic perceptions of competence.
Publication Date
2017
DOI
10.4236/oalib.1103300
Publisher Statement
OALib Journal is open-access
Citation Information
Sergio Da Silva and Joao Felipe De Novais. "Automatic Evaluation of Faces Predict Mayor Election Outcomes in Brazil" Open Access Library Journal Vol. 4 Iss. 1 (2017) p. 1 - 7 ISSN: 2333-9721
Available at: http://works.bepress.com/sergiodasilva/169/