Finding the face in the crowd: An anger superiority effect.
Abstract
Facial gestures have been given an increasingly critical role in models of emotion. The biological significance of interindividual transmission of emotional signals is a pivotal assumption for placing the face in a central position in these models. This assumption invited a logical corollary, examined in this article: Face-processing should be highly efficient. Three experiments documented an asymmetry in the processing of emotionally discrepant faces embedded in crowds. The results suggested that threatening faces pop out of crowds, perhaps as a result of a preattentive, parallel search for signals of direct threat.
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Cited by (61)
- Negativity Bias, Negativity Dominance, and ContagionRozin, Paul, Royzman, Edward B. · 2001 · Personality and Social Psychology Review
- Threat-related attentional bias in anxious and nonanxious individuals: a meta-analytic study.Bar-Haim, Yair, Lamy, Dominique, Pergamin, Lee, Bakermans-Kranenburg, Marian J., van IJzendoorn, Marinus H. · 2007 · Psychological Bulletin
- Asymmetrical effects of positive and negative events – the mobilization minimization hypothesis.Taylor, Shelley E. · 1991 · Psychological Bulletin
- Emotion drives attention: Detecting the snake in the grass.Öhman, Arne, Flykt, Anders, Esteves, Francisco · 2001 · Journal of Experimental Psychology: General
- Emotion and Cognition: Insights from Studies of the Human AmygdalaPhelps, Elizabeth A. · 2006 · Annual Review of Psychology
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Finding the face in the crowd: An anger superiority effect. https://app.cochat.ai/papers/10.1037//0022-3514.54.6.917
- The paper
- Hansen, C., & Hansen, R. D. (1988). Finding the face in the crowd: An anger superiority effect. Journal of Personality and Social Psychology. https://doi.org/10.1037//0022-3514.54.6.917
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.