"Privacy is not for me, it's for those rich women": Performative Privacy Practices on Mobile Phones by Women in South Asia
By Nithya Sambasivan, Garen Checkley, Amna Batool, Nova Ahmed, David Nemer, Laura Sanely Gaytán-Lugo, Tara Matthews, Sunny Consolvo, Elizabeth F. Churchill. 2018
221 citations recorded by the source corpus.
Subfields: Privacy & Security, Human-Computer Interaction
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In Human-Computer Interaction
Citations in the corpus
- Re-imagining Algorithmic Fairness in India and Beyond (2021, background): “However, this approach fails due to device sharing patterns [178], increased use of multiple SIM cards, and the frequency with which people change their numbers.”
- Toward responsible AI for the next billion users (2018, background): “For example, in our research we have found that women’s phones tend to be shared or monitored, and complex privacy practices are used when devices travel across hands; but users can be implicated when content is revealed accidentally [3].”
- “Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI (2021, background): “The prevalence of data cascades point to the contours of a larger problem: residual conventions and perceptions in AI/ML drawn fromworlds of ‘big data’—of abundant, expendable digital resources and worlds in which one user has one account [108]; of model valourisation [125]; of moving fast to proof-”