Whiteness in and through data protection : an intersectional approach to anti-violence apps and #MeToo bots
Renee Shelby, Jenna Imad Harb, Kathryn Henne
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.
Year of publication: |
2021
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Authors: | Shelby, Renee ; Harb, Jenna Imad ; Henne, Kathryn E. |
Published in: |
Internet policy review : journal on internet regulation. - Berlin : [Verlag nicht ermittelbar], ISSN 2197-6775, ZDB-ID 2733587-2. - Vol. 10.2021, 4, p. 1-25
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Subject: | Data protection | Race | gender | Artificial intelligence | Intersectionality |
Saved in:
freely available
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.14763/2021.4.1589 [DOI] hdl:10419/250398 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012873217
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