Missing the Crowd for the Faces: The Crowd-Emotion-Amplification Effect

When speaking to a large crowd, the tone you use or the examples you give may vary depending on how you think the crowd is reacting. But how good are we at reading crowds’ emotions? Research indicates that individuals tend to focus their attention on the faces that exhibit the most extreme emotions, leading them to overestimate the crowd’s actual emotional state. These findings have implications for public speaking as well as for controlling crowd demonstrations, among other tasks that require taking the temperature of a crowd. 

In a recent article in Psychological Science, Amit Goldenberg, Erika Weisz, and Mina Cikara of Harvard University, Timothy D. Sweeny of the University of Denver, and James J. Gross of Stanford University used three preregistered experiments to examine how people perceive the emotions of crowds.  

In the first experiment, 50 participants estimated the mean emotion displayed in sets of 1 to 12 faces. Each of the sets appeared on a screen for 1 second. The faces expressed emotions of different intensities on a neutral-to-angry or a neutral-to-happy continuum. The researchers found that the mean crowd emotion estimated by participants was higher than the actual mean crowd emotion, and the level of participants’ overestimation increased with the number of faces in the crowd. In addition, the amplification of emotion was stronger for crowds expressing anger than for those expressing happiness.  

In a second experiment, the researchers manipulated the amount of time different participants were exposed to the faces—1, 1.4, or 1.8 seconds—and found that longer exposures appeared to increase the emotion-amplification effect, rather than making participants’ perceptions more accurate, as one might expect.  

To understand the mechanism behind this crowd-emotion-amplification effect, Goldenberg and colleagues conducted a third experiment in which they tracked the gaze and eye movements of a separate set of 50 participants. Participants were found to spend more time looking at more emotional faces compared with less emotional faces. Moreover, participants who spent more time looking at the most emotional faces amplified the emotions of the crowd more than participants who spent less time attending to the most emotional faces. 

These findings indicate that individuals tend to spend more time looking at the more emotional faces in a crowd, which can lead them to overestimate the crowd’s emotions, especially when the crowd is large or expressing negative emotions. The researchers noted that “these studies leave open several questions regarding how amplification is translated to perception and behavior outside the lab” and said further work should examine the amplification effect in more naturalistic settings and test how different emotional distributions affect it.  

Nevertheless, the findings may help to explain important aspects of social behavior and open the door to future interventions aimed at mitigating the amplification of crowds’ emotions. These interventions are important because individuals are often asked to make quick decisions on the basis of snap judgments about others’ emotions. 

“This happens when people talk in front of an audience or pitch an idea to a team and need to estimate engagement and interest. It also happens when observers evaluate whether a demonstration has gone too far, whether these observers are bystanders or police officers who need to make a decision on whether to intervene,” Goldenberg and colleagues wrote. 

Works cited  

Goldenberg, A., Weisz, E., Sweeny, T., Cikara, M., & Gross, J. (2021). The crowd emotion amplification effect. Psychological Science. Advance online publication. https://doi.org/10.1177/0956797620970561 


APS regularly opens certain online articles for discussion on our website. Effective February 2021, you must be a logged-in APS member to post comments. By posting a comment, you agree to our Community Guidelines and the display of your profile information, including your name and affiliation. Any opinions, findings, conclusions, or recommendations present in article comments are those of the writers and do not necessarily reflect the views of APS or the article’s author. For more information, please see our Community Guidelines.

Please login with your APS account to comment.