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“I Don't Want Someone to Watch Me While I'm Working”: Gendered Views of Facial Recognition Technology in Workplace Surveillance

Author

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  • Luke Stark
  • Amanda Stanhaus
  • Denise L. Anthony

Abstract

Employers are increasingly using information and communication technologies to monitor employees. Such workplace surveillance is extensive in the United States, but its experience and potential consequences differ across groups based on gender. We thus sought to identify whether self‐reported male and female employees differ in the extent to which they find the use of workplace cameras equipped with facial recognition technology (FRT) acceptable, and examine the role of privacy attitudes more generally in mediating views on workplace surveillance. Using data from a nationally representative survey conducted by the Pew Research Center, we find that women are much less likely than men to approve of the use of cameras using FRT in the workplace. We then further explore whether men and women think differently about privacy, and if perceptions of privacy moderate the relationship between gender and approval of workplace surveillance. Finally, we consider the implications of these findings for privacy and surveillance via embedded technologies, and how the consequences of surveillance and technologies like FRT may be gendered. Note: We recognize evaluations based on a binary definition of gender are invariably partial and exclusionary. As we note in our discussion of the study's limitations, we were constrained by the survey categories provided by Pew.

Suggested Citation

  • Luke Stark & Amanda Stanhaus & Denise L. Anthony, 2020. "“I Don't Want Someone to Watch Me While I'm Working”: Gendered Views of Facial Recognition Technology in Workplace Surveillance," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(9), pages 1074-1088, September.
  • Handle: RePEc:bla:jinfst:v:71:y:2020:i:9:p:1074-1088
    DOI: 10.1002/asi.24342
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    References listed on IDEAS

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    1. Michel Anteby & Curtis K. Chan, 2018. "A Self-Fulfilling Cycle of Coercive Surveillance: Workers’ Invisibility Practices and Managerial Justification," Organization Science, INFORMS, vol. 29(2), pages 247-263, April.
    2. Taylor, Frederick Winslow, 1911. "The Principles of Scientific Management," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, number taylor1911.
    3. Philip Fei Wu & Jessica Vitak & Michael T. Zimmer, 2020. "A contextual approach to information privacy research," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(4), pages 485-490, April.
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    Cited by:

    1. Michael Zimmer & Jessica Vitak & Philip Wu, 2020. "Editorial introduction: “Information privacy in the digital age”," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(9), pages 997-1001, September.
    2. Bryce Clayton Newell, 2023. "Surveillance as information practice," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(4), pages 444-460, April.
    3. Britt Paris & Rebecca Reynolds & Catherine McGowan, 2022. "Sins of omission: Critical informatics perspectives on privacy in e‐learning systems in higher education," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(5), pages 708-725, May.
    4. Abraham, Martin & Wieser, Luisa & Schnabel, Claus & Niessen, Cornelia & Bergmann, Sara, 2025. "The Digital Gender Divide in Germany: The Role of Preferences and Constraints in Digital Involvement and Wages," IZA Discussion Papers 18097, IZA Network @ LISER.

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