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What can the implicit social cognition literature teach us about implicit social cognition?

Published online by Cambridge University Press:  13 May 2022

Benedek Kurdi
Affiliation:
Department of Psychology, Yale University New Haven, CT 06511. benedek.kurdi@yale.edu; http://www.benedekkurdi.com yarrow.dunham@yale.edu; http://www.socialcogdev.com
Yarrow Dunham
Affiliation:
Department of Psychology, Yale University New Haven, CT 06511. benedek.kurdi@yale.edu; http://www.benedekkurdi.com yarrow.dunham@yale.edu; http://www.socialcogdev.com

Abstract

We highlight several sets of findings from the past decade elucidating the relationship between implicit social cognition and real-world inequality: Studies focusing on practical ramifications of implicit social cognition in applied contexts, the relationship between implicit social cognition and consequential real-world outcomes at the level of individuals and geographic units, and convergence between individual-level and corpus-based measures of implicit bias.

Type
Open Peer Commentary
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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References

Agerström, J., & Rooth, D.-O. (2011). The role of automatic obesity stereotypes in real hiring discrimination. Journal of Applied Psychology, 96(4), 790805. http://doi.org/10.1037/a0021594.CrossRefGoogle ScholarPubMed
Caliskan, A., Bryson, J. J., & Narayanan, A. (2017). Semantics derived automatically from language corpora contain human-like biases. Science, 356(6334), 183186. http://doi.org/10.1126/science.aal4230.CrossRefGoogle ScholarPubMed
Caliskan, A., & Lewis, M. (2020). Social biases in word embeddings and their relation to human cognition. PsyArXiv. http://doi.org/10.31234/osf.io/d84kg.Google Scholar
Charlesworth, T. E. S., & Banaji, M. R. (2019). Patterns of implicit and explicit attitudes: I. Long-term change and stability from 2007 to 2016. Psychological Science, 30(2), 174192. http://doi.org/10.1177/0956797618813087.CrossRefGoogle ScholarPubMed
Charlesworth, T. E. S., Yang, V., Mann, T. C., Kurdi, B., & Banaji, M. R. (2021). Gender stereotypes in natural language: Word embeddings show robust consistency across child and adult language corpora of more than 65 million words. Psychological Science, Psychological Science, 32(2), 218–240. http://doi.org/10.1177/0956797620963619.CrossRefGoogle ScholarPubMed
Chetty, R., Hendren, N., Jones, M. R., & Porter, S. R. (2020). Race and economic opportunity in the United States: An intergenerational perspective. The Quarterly Journal of Economics, 135(2), 711783. http://doi.org/10.1093/qje/qjz042.CrossRefGoogle Scholar
Dasgupta, N., & Asgari, S. (2004). Seeing is believing: Exposure to counterstereotypic women leaders and its effect on the malleability of automatic gender stereotyping. Journal of Experimental Social Psychology, 40(5), 642658. http://doi.org/10.1016/j.jesp.2004.02.003.CrossRefGoogle Scholar
Dunham, Y., Baron, A. S., & Banaji, M. R. (2008). The development of implicit intergroup cognition. Trends in Cognitive Sciences, 12(7), 248253. http://doi.org/10.1016/j.tics.2008.04.006.CrossRefGoogle ScholarPubMed
Glover, D., Pallais, A., & Pariente, W. (2017). Discrimination as a self-fulfilling prophecy: Evidence from French grocery stores. The Quarterly Journal of Economics, 132(3), 12191260. http://doi.org/10.1093/qje/qjx006.CrossRefGoogle Scholar
Hagiwara, N., Penner, L. A., Gonzalez, R., Eggly, S., Dovidio, J. F., Gaertner, S. L. (2013). Racial attitudes, physician-patient talk time ratio, and adherence in racially discordant medical interactions. Social Science & Medicine, 87(C), 123131. http://doi.org/10.1016/j.socscimed.2013.03.016.CrossRefGoogle ScholarPubMed
Hehman, E., Calanchini, J., Flake, J. K., & Leitner, J. B. (2019). Establishing construct validity evidence for regional measures of explicit and implicit racial bias. Journal of Experimental Psychology: General, 148(6), 10221040. http://doi.org/10.1037/xge0000623.CrossRefGoogle ScholarPubMed
Hehman, E., Flake, J. K., & Calanchini, J. (2018). Disproportionate use of lethal force in policing is associated with regional racial biases of residents. Social Psychological and Personality Science, 9(4), 393401. http://doi.org/10.1177/1948550617711229.CrossRefGoogle Scholar
Kurdi, B., & Dunham, Y. (2020). Propositional accounts of implicit evaluation: Taking stock and looking ahead. Social Cognition, 38(Supplement), s42s67. http://doi.org/10.1521/soco.2020.38.supp.s42.CrossRefGoogle Scholar
Kurdi, B., Mann, T. C., Charlesworth, T. E. S., & Banaji, M. R. (2019a). The relationship between implicit intergroup attitudes and beliefs. Proceedings of the National Academy of Sciences, 21, 201820240–10. http://doi.org/10.1073/pnas.1820240116.Google Scholar
Kurdi, B., Seitchik, A. E., Axt, J. R., Carroll, T. J., Karapetyan, A., Kaushik, N. (2019b). Relationship between the implicit association test and intergroup behavior: A meta-analysis. American Psychologist, 74(5), 569586. http://doi.org/10.1037/amp0000364.CrossRefGoogle Scholar
Lovakov, A., & Agadullina, E. R. (2021). Empirically derived guidelines for effect size interpretation in social psychology. European Journal of Social Psychology, 51(3), 485–504. http://doi.org/10.1002/ejsp.2752.CrossRefGoogle Scholar
Olson, K. R., Key, A. C., & Eaton, N. R. (2015). Gender cognition in transgender children. Psychological Science, 26(4), 467474. http://doi.org/10.1177/0956797614568156.CrossRefGoogle ScholarPubMed
Payne, B. K., Vuletich, H. A., & Lundberg, K. B. (2017). The bias of crowds: How implicit bias bridges personal and systemic prejudice. Psychological Inquiry, 28(4), 233248. http://doi.org/10.1080/1047840X.2017.1335568.CrossRefGoogle Scholar
Penner, L. A., Dovidio, J. F., Gonzalez, R., Albrecht, T. L., Chapman, R., Foster, T.Eggly, S. (2016). The effects of oncologist implicit racial bias in racially discordant oncology interactions. Journal of Clinical Oncology, 34(24), 28742880. http://doi.org/10.1200/JCO.2015.66.3658.CrossRefGoogle ScholarPubMed
Penner, L. A., Dovidio, J. F., West, T. V., Gaertner, S. L., Albrecht, T. L., Dailey, R. K., & Markova, T. (2010). Aversive racism and medical interactions with black patients: A field study. Journal of Experimental Social Psychology, 46(2), 436440. http://doi.org/10.1016/j.jesp.2009.11.004.CrossRefGoogle ScholarPubMed
Riddle, T., & Sinclair, S. (2019). Racial disparities in school-based disciplinary actions are associated with county-level rates of racial bias. Proceedings of the National Academy of Sciences, 116(17), 82558260. http://doi.org/10.1073/pnas.1808307116.CrossRefGoogle ScholarPubMed
Steffens, M. C., Jelenec, P., & Noack, P. (2010). On the leaky math pipeline: Comparing implicit math–gender stereotypes and math withdrawal in female and male children and adolescents. Journal of Educational Psychology, 102(4), 947963. http://doi.org/10.1037/a0019920.CrossRefGoogle Scholar