Event Title

Perception of Political Affiliations from Faces: Part Two

Presentation Type

Poster/Portfolio

Presenter Major(s)

Psychology

Mentor Information

Liang Lou

Department

Psychology

Location

Kirkhof Center KC7

Start Date

10-4-2013 9:00 AM

End Date

10-4-2013 10:00 AM

Keywords

Identity, Social Science, U.S. Diversity

Abstract

Head-shots of US senators will be presented to GVSU student participants, who will rate the faces on facial and personality characteristics and decide whether each face belongs to a democrat or a republican. Our previous studies found strong inter-rater agreement with regard to how certain characteristics (e.g., warmth) of the faces reveal political identities (e.g., democrats). However, there was no evidence for above-chance accuracy in perceiving political affiliations from faces alone, suggesting that the perception is influenced by participant biases. We predict that the present study will confirm those findings. In the second part of the present study, we will present pairs of photos of each of the senators, with each pair containing one smiling face and one with a serious facial expression. We predict that GVSU students, especially those leaning towards democrats, will perceive smiling faces, regardless of their actual political affiliations, to belong to democrats.

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Apr 10th, 9:00 AM Apr 10th, 10:00 AM

Perception of Political Affiliations from Faces: Part Two

Kirkhof Center KC7

Head-shots of US senators will be presented to GVSU student participants, who will rate the faces on facial and personality characteristics and decide whether each face belongs to a democrat or a republican. Our previous studies found strong inter-rater agreement with regard to how certain characteristics (e.g., warmth) of the faces reveal political identities (e.g., democrats). However, there was no evidence for above-chance accuracy in perceiving political affiliations from faces alone, suggesting that the perception is influenced by participant biases. We predict that the present study will confirm those findings. In the second part of the present study, we will present pairs of photos of each of the senators, with each pair containing one smiling face and one with a serious facial expression. We predict that GVSU students, especially those leaning towards democrats, will perceive smiling faces, regardless of their actual political affiliations, to belong to democrats.