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

Authors: 

Nina Gerber and Alina Stöver, Technical University of Darmstadt; Peter Mayer, University of Southern Denmark

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.

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BibTeX
@inproceedings {298864,
author = {Nina Gerber and Alina St{\"o}ver and Peter Mayer},
title = {Of Mothers and Managers {\textendash} The Effect of Videos Depicting Gender Stereotypes on Women and Men in the Security and Privacy Field},
booktitle = {Twentieth Symposium on Usable Privacy and Security (SOUPS 2024)},
year = {2024},
isbn = {978-1-939133-42-7},
address = {Philadelphia, PA},
pages = {547--566},
url = {https://www.usenix.org/conference/soups2024/presentation/gerber},
publisher = {USENIX Association},
month = aug
}

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