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Whiteness in and through data protection: An intersectional approach to anti-violence apps and #MeToo bots

Author

Listed:
  • Shelby, Renee
  • Harb, Jenna Imad
  • Henne, Kathryn E.

Abstract

This article analyses apps and artificial intelligence chatbots designed to offer survivors of sexual violence with emergency assistance, education, and a means to report and build evidence against perpetrators. Demonstrating how these technologies both confront and constitute forms of oppression, this analysis complicates assumptions about data protection through an intersectional feminist examination of these digital tools. In surveying different anti-violence apps, we interrogate how the racial formation of whiteness manifests in ways that can be understood as the political, representational, and structural intersectional dimensions of data protection.

Suggested Citation

  • Shelby, Renee & Harb, Jenna Imad & Henne, Kathryn E., 2021. "Whiteness in and through data protection: An intersectional approach to anti-violence apps and #MeToo bots," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 10(4), pages 1-25.
    • Handle: RePEc:zbw:iprjir:250398
    DOI: 10.14763/2021.4.1589
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    Cited by:

    1. Anne Ngũnjiri & Peter Memiah & Robert Kimathi & Fernando A. Wagner & Annrita Ikahu & Eunice Omanga & Emmanuel Kweyu & Carol Ngunu & Lilian Otiso, 2023. "Utilizing User Preferences in Designing the AGILE (Accelerating Access to Gender-Based Violence Information and Services Leveraging on Technology Enhanced) Chatbot," IJERPH, MDPI, vol. 20(21), pages 1-16, November.

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