The Malleability of Gender-Science Implicit Bias
DOI:
https://doi.org/10.47611/jsrhs.v13i3.7374Keywords:
Gender, Science, STEM, Implicit Bias, Implicit Association TestAbstract
Women in STEM are underrepresented in the media, which leads to the strengthening of the implicit bias that females do not belong in STEM fields since humans form expectations based on patterns that they observe. Past studies on racial implicit bias have shown that implicit bias can be temporarily shifted through exposure to images that go against stereotypical expectations. Therefore, the research question for this paper is: how will gender-science implicit bias shift when a participant from Grassfield High School is exposed to an advertisement containing varying degrees of female representation in STEM fields? A survey was distributed to participants at Grassfield High School that collected demographic data in addition to providing instructions for participants to take and record their scores from a gender-science Implicit Association Test, watch an advertisement of varying degrees of female representation in STEM, and then retake the gender-science IAT. The research hypothesis was that participants who were exposed to advertisements including counter stereotypes of women in STEM would have IAT results that were less stereotypical than the results from the initial test, and vice versa. The results indicate that females who are exposed to counter stereotypical media will have more stereotypical implicit associations, possibly due to the presence of stereotype threat. Although it became clear that gender-science implicit bias is not easily shifted, counter stereotypical media may not be an ideal way to reduce the gender-science implicit bias of young women at Grassfield High School against women in STEM.
Downloads
References or Bibliography
References
About the IAT. (n.d.). Implicit.harvard.edu. https://implicit.harvard.edu/implicit/iatdetails.html#:~:text=The%20IAT%20measures%20the%20strength
Aronson, J., Burgess, D., Phelan, S. M., & Juarez, L. (2013). Unhealthy Interactions: The Role of Stereotype Threat in Health Disparities. American Journal of Public Health, 103(1), 50–56. https://doi.org/10.2105/ajph.2012.300828
Ceci, L. (2022, October 12). U.S. users who have a YouTube account by age 2022. Statista. https://www.statista.com/statistics/1338818/us-users-having-a-youtube-account-by-age/
Cvencek, D., Meltzoff, A. N., Maddox, C. D., Nosek, B. A., Rudman, L. A., Devos, T., Dunham, Y., Baron, A. S., Steffens, M. C., Lane, K., Horcajo, J., Ashburn-Nardo, L., Quinby, A., Srivastava, S. B., Schmidt, K., Aidman, E., Tang, E., Farnham, S., Mellott, D. S., & Banaji, M. R. (2020). Meta-Analytic Use of Balanced Identity Theory to Validate the Implicit Association Test. Personality and Social Psychology Bulletin, 47(2), 014616722091663. https://doi.org/10.1177/0146167220916631
Dasgupta, N., & Greenwald, A. G. (2001). On the malleability of automatic attitudes: Combating automatic prejudice with images of admired and disliked individuals. Journal of Personality and Social Psychology, 81(5), 800–814. https://doi.org/10.1037/0022-3514.81.5.800
Davies, P. G., Spencer, S. J., Quinn, D. M., & Gerhardstein, R. (2002). Consuming Images: How Television Commercials that Elicit Stereotype Threat Can Restrain Women Academically and Professionally. Personality and Social Psychology Bulletin, 28(12), 1615–1628. https://doi.org/10.1177/014616702237644
Del Carlo, D., & Wagner, T. (2019). Women in Science: A Snapshot Across Generations in Academia. Journal of Women and Minorities in Science and Engineering; Begell House Digital Library. https://www.dl.begellhouse.com/journals/00551c876cc2f027
Geena Davis Institute on Gender in Media, & Lyda Hill Foundation. (n.d.). Representation of Women STEM Characters in Media. Geena Davis Institute on Gender in Media. https://seejane.org/wp-content/uploads/portray-her-full-report.pdf
Greenwald, A. G., Dasgupta, N., Dovidio, J. F., Kang, J., Moss-Racusin, C. A., & Teachman, B. A. (2022). Implicit-Bias Remedies: Treating Discriminatory Bias as a Public-Health Problem. Psychological Science in the Public Interest, 23(1), 7–40. https://doi.org/10.1177/15291006211070781
Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998). Measuring individual differences in implicit cognition: The implicit association test. Journal of Personality and Social Psychology, 74(6), 1464–1480. https://doi.org/10.1037/0022-3514.74.6.1464
Guidance on the Protection of Personal Identifiable Information. (n.d.). Www.dol.gov; U.S. Department of Labor. https://www.dol.gov/general/ppii#:~:text=Personal%20Identifiable%20Information%20(PII)%20is
Haris, M. J., Upreti, A., Kurtaran, M., Ginter, F., Lafond, S., & Azimi, S. (2023). Identifying gender bias in blockbuster movies through the lens of machine learning. Humanities and Social Sciences Communications, 10(1). https://doi.org/10.1057/s41599-023-01576-3
Implicit Bias in Academia. (2018). League of European Research Universities. https://www.leru.org/files/implicit-bias-in-academia-full-paper.pdf
Joy-Gaba, J. A., & Nosek, B. A. (2010). The Surprisingly Limited Malleability of Implicit Racial Evaluations. Social Psychology, 41(3), 137–146. https://doi.org/10.1027/1864-9335/a000020
Lai, C. K., Skinner, A. L., Cooley, E., Murrar, S., Brauer, M., Devos, T., Calanchini, J., Xiao, Y. J., Pedram, C., Marshburn, C. K., Simon, S., Blanchar, J. C., Joy-Gaba, J. A., Conway, J., Redford, L., Klein, R. A., Roussos, G., Schellhaas, F. M. H., Burns, M., & Hu, X. (2016). Reducing implicit racial preferences: II. Intervention effectiveness across time. Journal of Experimental Psychology: General, 145(8), 1001–1016. https://doi.org/10.1037/xge0000179
Macdonald, C. (2021). Media representation and gender bias in science. Journal of Environmental Media, 2(1), 7–15. https://doi.org/10.1386/jem_00036_1
Moss-Racusin, C. A., Molenda, A. K., & Cramer, C. R. (2015). Can Evidence Impact Attitudes? Public Reactions to Evidence of Gender Bias in STEM Fields. Psychology of Women Quarterly, 39(2), 194–209. https://doi.org/10.1177/0361684314565777
Nosek, B. (2023, November 9). Request for Advice - Gender-Science Implicit Bias [Email to Sabrina Maule].
Office for Human Resource Protections. (2018). Human Subject Regulations Decision Charts: 2018 Requirements. https://www.hhs.gov/ohrp/sites/default/files/human-subject-regulations-decision-charts-2018-requirements.pdf
Olsson, M., & Martiny, S. E. (2018). Does Exposure to Counterstereotypical Role Models Influence Girls’ and Women’s Gender Stereotypes and Career Choices? A Review of Social Psychological Research. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.02264
Pennington, C. R., Heim, D., Levy, A. R., & Larkin, D. T. (2016). Twenty Years of Stereotype Threat Research: A Review of Psychological Mediators. PLOS ONE, 11(1), e0146487. https://doi.org/10.1371/journal.pone.0146487
Perception Institute. (2019). Implicit Bias Explained. Perception Institute. https://perception.org/research/implicit-bias/
Santoniccolo, F., Trombetta, T., Paradiso, M. N., & Rollè, L. (2023). Gender and Media Representations: A Review of the Literature on Gender Stereotypes, Objectification and Sexualization. International Journal of Environmental Research and Public Health, 20(10), 5770. https://doi.org/10.3390/ijerph20105770
Varan, D., Nenycz-Thiel, M., Kennedy, R., & Bellman, S. (2019). The Effects of Commercial Length On Advertising Impact. Journal of Advertising Research, JAR-2019-036. https://doi.org/10.2501/jar-2019-036
Vogels, E. A., Gelles-Watnick, R., & Massarat, N. (2022, August 10). Teens, Social Media and Technology 2022. PEW Research Center. https://www.pewresearch.org/internet/2022/08/10/teens-social-media-and-technology-2022/
Ward, L. M., & Grower, P. (2020). Media and The Development of Gender Role Stereotypes. Annual Review of Developmental Psychology, 2(1), 177–199. https://doi.org/10.1146/annurev-devpsych-051120-010630
Wille, E., Gaspard, H., Trautwein, U., Oschatz, K., Scheiter, K., & Nagengast, B. (2018). Gender Stereotypes in a Children’s Television Program: Effects on Girls’ and Boys’ Stereotype Endorsement, Math Performance, Motivational Dispositions, and Attitudes. Frontiers in Psychology, 9(2435). https://doi.org/10.3389/fpsyg.2018.02435
Published
How to Cite
Issue
Section
Copyright (c) 2024 Sabrina Maule; Joseph Blacketer

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright holder(s) granted JSR a perpetual, non-exclusive license to distriute & display this article.


