QUYOUM, Aunam, WONG, Mark, GHOSH, Sebati and SHAHANDASHTI, Siamak (2025). Minoritised Ethnic People's Security and Privacy Concerns and Responses towards Essential Online Services. In: USENIX Symposium on Usable Privacy and Security (SOUPS) 2025, Seattle, WA, USA, 10-12 Aug 2025. [Conference or Workshop Item]
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2506.06062v2 (1).pdf - Accepted Version
Available under License Creative Commons Attribution.
2506.06062v2 (1).pdf - Accepted Version
Available under License Creative Commons Attribution.
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Abstract
Minoritised ethnic people are marginalised in society, and
therefore at a higher risk of adverse online harms, including
those arising from the loss of security and privacy of personal
data. Despite this, there has been very little research focused
on minoritised ethnic people’s security and privacy concerns,
attitudes, and behaviours. In this work, we provide the results
of one of the first studies in this regard. We explore minoritised ethnic people’s experiences of using essential online services across three sectors: health, social housing, and energy,
their security and privacy-related concerns, and responses towards these services. We conducted a thematic analysis of 44
semi-structured interviews with people of various reported
minoritised ethnicities in the UK. Privacy concerns and lack
of control over personal data emerged as a major theme, with
many interviewees considering privacy as their most significant concern when using online services. Several creative
tactics to exercise some agency were reported, including selective and inconsistent disclosure of personal data. A core
concern about how data may be used was driven by a fear
of repercussions, including penalisation and discrimination,
influenced by prior experiences of institutional and online
racism. The increased concern and potential for harm resulted
in minoritised ethnic people grappling with a higher-stakes
dilemma of whether to disclose personal information online
or not. Furthermore, trust in institutions, or lack thereof, was
found to be embedded throughout as a basis for adapting behaviour. We draw on our results to provide lessons learned
for the design of more inclusive, marginalisation-aware, and
privacy-preserving online services.
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