Inferences of competence from faces predict election outcomes.
نویسندگان
چکیده
We show that inferences of competence based solely on facial appearance predicted the outcomes of U.S. congressional elections better than chance (e.g., 68.8% of the Senate races in 2004) and also were linearly related to the margin of victory. These inferences were specific to competence and occurred within a 1-second exposure to the faces of the candidates. The findings suggest that rapid, unreflective trait inferences can contribute to voting choices, which are widely assumed to be based primarily on rational and deliberative considerations.
منابع مشابه
Candidate Faces and Election Outcomes∗
Recent research finds that naive survey participants’ rapid evaluations of the facial competence of United States Congressional candidates predict aggregate vote margins. The predictive power of facial competence has generated considerable interest because it seems to indicate a causal relationship between face and vote choice. Because there is no a priori reason to expect that candidate facial...
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Olivola and Todorov (Elected in 100 milliseconds: appearance-based trait inferences and voting. J Nonverbal Behav, 2010) provide a convincing demonstration that competence ratings based on 1-second exposures to paired photos of US congressional candidates predict election outcomes at better than chance levels. However, they do not account for variation in competence judgments. In their analysis...
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Recent research finds that inferences from candidate faces predict aggregate vote margins. Many have concluded this to mean that voters choose the candidate with the better face. We implement a survey with participant evaluations of over 167,000 candidate face pairings. Through regression analysis using individualand district-level vote data we find that the face-vote correlation is explained b...
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ورودعنوان ژورنال:
- Science
دوره 308 5728 شماره
صفحات -
تاریخ انتشار 2005