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Automatic evaluation of faces predict mayor election outcomes in Brazil

Author

Listed:
  • Da Silva, Sergio
  • De Novais, Joao Felipe

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 U.S. 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.

Suggested Citation

  • Da Silva, Sergio & De Novais, Joao Felipe, 2017. "Automatic evaluation of faces predict mayor election outcomes in Brazil," MPRA Paper 79519, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:79519
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    File URL: https://mpra.ub.uni-muenchen.de/79519/1/MPRA_paper_79519.pdf
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    More about this item

    Keywords

    Voting behavior; Automatic face evaluation; Election outcomes; Nonverbal behavior; Field experiment;
    All these keywords.

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles

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