Word Count (including text, abstract, notes and references): 12,943Note: Studies 1a and 1b were originally from the first author's dissertation.
Declaration of Conflicting Interests:This research was partly supported by Project Implicit. B. A. Nosek is an officer and J.R. Axt is Director of Data and Methodology for Project Implicit, Inc., a nonprofit organization with the mission to "develop and deliver methods for investigating and applying phenomena of implicit social cognition, including especially phenomena of implicit bias based on age, race, gender, or other factors." The authors declare no other potential conflicts of interest with respect to authorship or publication of this article.
BIAS WARNINGS AND REDUCING MULTIPLE BIASESAbstract Social judgment is shaped by multiple biases operating simultaneously, but most bias-reduction interventions target only a single social category. In seven pre-registered studies (Total N > 7,000), we investigated whether asking participants to avoid one social bias impacted that and other social biases. Participants selected honor society applicants based on academic credentials.Applicants also differed on social categories irrelevant for selection: attractiveness and ingroup status. Participants asked to avoid potential bias in one social category showed small but reliable reductions in bias for that category (r = .095), but showed near zero bias reduction on the unmentioned social category (r = .006). Asking participants to avoid many possible social biases or alerting them to bias without specifically identifying a category did not consistently reduce bias. The effectiveness of interventions for reducing social biases may be highly specific, perhaps even contingent on explicitly and narrowly identifying the potential source of bias.Word count: 150