Also known as: Out group Homogeneity Bias
Out-group homogeneity bias is the tendency to perceive members of an outside group as more similar to one another than members of one’s own group. In datasets and evaluations, it can produce oversimplified, stereotyped, or less nuanced labels for people outside the annotator’s group.
The tendency to see out-group members as more alike than in-group members when comparing attitudes, values, personality traits, and other characteristics. In-group refers to people you interact with regularly; out-group refers to people you don't interact with regularly. If you create a dataset by asking people to provide attributes about out-groups, those attributes may be less nuanced and more stereotyped than attributes that participants list for people in their in-group. For example, Lilliputians might describe the houses of other Lilliputians in great detail, citing small differences in architectural styles, windows, doors, and sizes. However, the same Lilliputians might simply declare that Brobdingnagians all live in identical houses. Out-group homogeneity bias is a form of group attribution bias. See also in-group bias.