Of Mothers and Managers - The Effect of Videos Depicting Gender Stereotypes on Women and Men in the Security and Privacy Field

Gender imbalances are prevalent in computer science and the security and privacy (S&P) field in particular, giving rise to gender stereotypes. The existence of such stereotypes might elicit the stereotype threat effect well-known from research in math settings: mere exposure to stereotypes can decrease the performance in and attitude towards specific fields. In this work, we investigate whether the stereotype threat effect influences women and men in the S&P field. We conducted an online experiment with multiple groups to explore whether videos that depict and counteract gender stereotypes influence S&P attitudes and intentions (RQ1), and (self-assessed) S&P knowledge (RQ2). We find overall little evidence for the stereotype threat effect, but our results show that women in the condition actively counteracting gender stereotypes report a higher interest in preventing hacker access to their devices than women in the stereotype conditions. In addition, we find that men score higher than women in a variety of self-report measures, except for security and privacy concerns. These results indicate that stereotypes might need to be addressed early on to prevent stereotypes from becoming social norms and a self-fulfilling prophecy of gender imbalance in the S&P field.

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Publication Details

Journal
University of Southern Denmark Research Portal (University of Southern Denmark)
Published
2025-01-01
DOI
https://doi.org/10.5555/3696899.3696928
Primary Topic
Gender, Feminism, and Media
Type
article
Field-Weighted Citation Impact
0.00
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article

Of Mothers and Managers - The Effect of Videos Depicting Gender Stereotypes on Women and Men in the Security and Privacy Field

Peter Mayer, Nina Gerber, Alina Stöver
University of Southern Denmark Research Portal (University of Southern Denmark)
Gender, Feminism, and Media
article

Of Mothers and Managers - The Effect of Videos Depicting Gender Stereotypes on Women and Men in the Security and Privacy Field

Peter Mayer, Nina Gerber, Alina Stöver
article en

Abstract

Gender imbalances are prevalent in computer science and the security and privacy (S&P) field in particular, giving rise to gender stereotypes. The existence of such stereotypes might elicit the stereotype threat effect well-known from research in math settings: mere exposure to stereotypes can decrease the performance in and attitude towards specific fields. In this work, we investigate whether the stereotype threat effect influences women and men in the S&P field. We conducted an online experiment with multiple groups to explore whether videos that depict and counteract gender stereotypes influence S&P attitudes and intentions (RQ1), and (self-assessed) S&P knowledge (RQ2). We find overall little evidence for the stereotype threat effect, but our results show that women in the condition actively counteracting gender stereotypes report a higher interest in preventing hacker access to their devices than women in the stereotype conditions. In addition, we find that men score higher than women in a variety of self-report measures, except for security and privacy concerns. These results indicate that stereotypes might need to be addressed early on to prevent stereotypes from becoming social norms and a self-fulfilling prophecy of gender imbalance in the S&P field.

University of Southern Denmark Research Portal (University of Southern Denmark)
Technische Universität Darmstadt (DE), Department of Physics, Mathematics and Informatics (BY), Schools of Visual Arts, The Royal Danish Academy of Fine Arts (DK)
Openalex Percentile: Top 79%
Gender, Feminism, and Media
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