Aunties, Strangers, and the FBI: Online Privacy Concerns and Experiences of Muslim-American Women

Authors: 

Tanisha Afnan and Yixin Zou, University of Michigan School of Information; Maryam Mustafa, Lahore University of Management Sciences; Mustafa Naseem and Florian Schaub, University of Michigan School of Information

Abstract: 

Women who identify with Islam in the United States come from many different race, class, and cultural communities. They are also more likely to be first or second-generation immigrants. This combination of different marginal identities (religious affiliation, gender, immigration status, and race) exposes Muslim-American women to unique online privacy risks and consequences. We conducted 21 semi-structured interviews to understand how Muslim-American women perceive digital privacy risks related to three contexts: government surveillance, Islamophobia, and social surveillance. We find that privacy concerns held by Muslim-American women unfolded with respect to three dimensions of identity: as a result of their identity as Muslim-Americans broadly (e.g., Islamophobic online harassment), as Muslim-American women more specifically (e.g., reputational harms within one's cultural community for posting taboo content), and as a product of their own individual practices of Islam (e.g., constructing female-only spaces to share photos of oneself without a hijab). We discuss how these intersectional privacy concerns add to and expand on existing pro-privacy design principles, and lessons learned from our participants' privacy-protective strategies for improving the digital experiences of this community.

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BibTeX
@inproceedings {281216,
author = {Tanisha Afnan and Yixin Zou and Maryam Mustafa and Mustafa Naseem and Florian Schaub},
title = {Aunties, Strangers, and the {FBI}: Online Privacy Concerns and Experiences of {Muslim-American} Women},
booktitle = {Eighteenth Symposium on Usable Privacy and Security (SOUPS 2022)},
year = {2022},
isbn = {978-1-939133-30-4},
address = {Boston, MA},
pages = {387--406},
url = {https://www.usenix.org/conference/soups2022/presentation/afnan},
publisher = {USENIX Association},
month = aug
}

Presentation Video