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Anger Bias In The Evaluation Of Crowds, Diana Mihalache

Electronic Theses and Dissertations

Although people are good at classifying emotions, they also make mistakes. These errors tend to be negatively biased and potentially serve a protective function. Research on biases in emotion perception has largely focused on perception of individual faces and little is known about biases in evaluations of crowds. In the first investigation, I conducted six experiments, evaluating anger bias—a tendency to judge facial expressions as angry—in the context of single faces and emotionally homogenous crowds. I found that observers were biased to classify faces as angry, especially when evaluating crowds. This amplified bias emerged in the context of perceptual uncertainty …