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Inferring Whether Officials Are Corruptible From Looking at Their Faces.

ABSTRACT: While inferences of traits from unfamiliar faces prominently reveal stereotypes, some facial inferences also correlate with real-world outcomes. We investigated whether facial inferences are associated with an important real-world outcome closely linked to the face bearer's behavior: political corruption. In four preregistered studies ( N = 325), participants made trait judgments of unfamiliar government officials on the basis of their photos. Relative to peers with clean records, federal and state officials convicted of political corruption (Study 1) and local officials who violated campaign finance laws (Study 2) were perceived as more corruptible, dishonest, selfish, and aggressive but similarly competent, ambitious, and masculine (Study 3). Mediation analyses and experiments in which the photos were digitally manipulated showed that participants' judgments of how corruptible an official looked were causally influenced by the face width of the stimuli (Study 4). The findings shed new light on the complex causal mechanisms linking facial appearances with social behavior.

SUBMITTER: Lin C

PROVIDER: S-EPMC6249659 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Inferring Whether Officials Are Corruptible From Looking at Their Faces.

Lin Chujun C Adolphs Ralph R Alvarez R Michael RM

Psychological science 20180912 11

While inferences of traits from unfamiliar faces prominently reveal stereotypes, some facial inferences also correlate with real-world outcomes. We investigated whether facial inferences are associated with an important real-world outcome closely linked to the face bearer's behavior: political corruption. In four preregistered studies ( N = 325), participants made trait judgments of unfamiliar government officials on the basis of their photos. Relative to peers with clean records, federal and st ...[more]

PMID: 30207833

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Inferring Whether Officials Are Corruptible From Looking at Their Faces.

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Inferring Whether Officials Are Corruptible From Looking at Their Faces.

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