Racialized Emotion Recognition Accuracy and Anger Bias of Children's Faces

Research suggests that individuals are racially biased when judging the emotions of others (Elfenbein & Ambady, 2002) and particularly regarding attributions about the emotion of anger (Halberstadt. Castro, Chu, Lozada, & Sims, 2018; Hugenberg & Bodenhausen. 2003). Systematic, balanced designs are rare, and are comprised of adults viewing adults. The present study expands the questions of racialized emotion recognition accuracy and anger bias to the world of children. Findings that adults demonstrate either less emotion accuracy and/or greater anger bias for Black versus White children could potentially explain some of the large racialized disciplinary discrepancies in schools. To test whether racialized emotion recognition accuracy and anger bias toward children exists, we asked 178 prospective teachers to complete an emotion recognition task comprised of 72 children's facial expressions depicting six emotions and divided equally by race (Black. White) and gender (female, male). We also assessed implicit bias via the child race Implicit Association Test and explicit bias via questionnaire. Multilevel modeling revealed nuanced racialized emotion recognition accuracy with a race by gender interaction, but clear racialized anger bias toward both Black boys and girls. Both Black boys and Black girls were falsely seen as angry more often than White boys and White girls. Higher levels of either implicit or explicit bias did not increase odds of Black children being victim to anger bias, but instead decreased odds that White children would be misperceived as angry. Implications for addressing preexisting biases in teacher preparation programs and by children and parents are discussed.