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Hostile attribution bias is theorized to result from deviations in any of these steps, [4] including paying attention to and encoding biased information (e.g., only paying attention to cues suggestive of hostility), biases toward negative interpretations of social interactions (e.g., more likely to interpret situation as hostile), limited ...
Hostile attribution bias (HAB) has been defined as an interpretive bias wherein individuals exhibit a tendency to interpret others' ambiguous behaviors as hostile, rather than benign. [7] [8] For example, if a child witnesses two other children whispering, they may assume that the children are talking negatively about them. In this case, the ...
Hostile attribution bias, the tendency to interpret others' behaviors as having hostile intent, even when the behavior is ambiguous or benign. [130] Intentionality bias, the tendency to judge human action to be intentional rather than accidental. [131]
This hostile attribution bias may contribute to increased intergroup hostility and authoritarian behavior in the long run, according to study co-author and NCRI Chief Science Officer Joel Finkelstein.
Participants that read the anti-racist material developed a “hostile attribution bias” and were more likely to believe in punitive measures for offenders of so-called microaggressions even ...
Interpretive bias or interpretation bias is an information-processing bias, the tendency to inappropriately analyze ambiguous stimuli, scenarios and events. [1] One type of interpretive bias is hostile attribution bias, wherein individuals perceive benign or ambiguous behaviors as hostile. For example, a situation in which one friend walks past ...
These include the false consensus effect, actor–observer bias, bias blind spot, and fundamental attribution error, among others. The term, as it is used in psychology today, was coined by social psychologist Lee Ross and his colleagues in the 1990s.
New Study Finds Dei Initiatives Creating ‘Hostile Attribution Bias' DEI policies seek to end racial and other inequities by prioritizing select groups for acceptance.