Ricerc@Sapienza

Past studies have already showed that even if considered automatic and quite difficult to suppress, racial bias may be successfully reduced when a novel social category is made salient in priming task involving automatic evaluation of (previously learned) faces. However the efficacy of bias reduction models proposed in literature have not yet been compared as they lack of a common frame of reference. We propose five studies based on the common paradigm of Social Categorization Task (SCT) to investigate how different racial bias reduction models interfere with the implicit social map that emerges from the SCT.