USENIX Security2024Top-tier venue
SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors
Miranda Wei, Jaron Mink, Yael Eiger, Tadayoshi Kohno, Elissa M. Redmiles, Franziska Roesner
Abstract
Researchers are increasingly exploring how gender, culture, and other sociodemographic factors correlate with user computer security and privacy behaviors. To more holistically understand relationships between these factors and behaviors, we make two contributions. First, we broadly survey existing scholarship on sociodemographics and secure behavior (151 papers) before conducting a focused literature review of 47 papers to synthesize what is currently known and identify open questions for future research. Second, by incorporating contemporary social and critical theories, we establish guidelines for future studies of sociodemographic factors and security behaviors that address how to overcome common pitfalls. We present a case study to demonstrate our guidelines in action, at-scale, that conduct a measurement study of the relationships between sociodemographics and de-identified, aggregated log data of security and privacy behaviors among 16,829 users on Facebook across 16 countries. Through these contributions, we position our work as a systemization of a lack of knowledge (SoLK). Overall, we find contradictory results and vast unknowns about how identity shapes security behavior. Through our guidelines and discussion, we chart new directions to more deeply examine how and why sociodemographic factors affect security behaviors.
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Install the CLIlune papers fulltext efa6c8e0-0a38-4f0f-8c4f-403fecf383ecCited by top-tier papers6
- Regulating AI: Where U.S. State Policy and HCI (Mis)alignNino Migineishvili, Alice Gao, Adinawa Adjagbodjou, Dhanaraj Thakur et al.CHI 2026 · 1 citation
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- Human-Centered Threat Modeling in Practice: Lessons, Challenges, and Paths ForwardWarda Usman, Yixin Zou, Daniel ZappalaS&P 2026
Builds on24
- How WEIRD is CHI?Sebastian Linxen, Christian Sturm, Florian Brühlmann, Vincent Cassau et al.CHI 2021 · 254 citations
- How We've Taught Algorithms to See Identity: Constructing Race and Gender in Image Databases for Facial AnalysisMorgan Klaus Scheuerman, Kandrea Wade, Caitlin Lustig, Jed R. BrubakerCSCW 2020 · 198 citations
- How I Learned to be Secure: a Census-Representative Survey of Security Advice Sources and BehaviorElissa M. Redmiles, Sean Kross, Michelle L. MazurekCCS 2016 · 192 citations
- Let's Go in for a Closer Look: Observing Passwords in Their Natural HabitatSarah Pearman, Jeremy Thomas, Pardis Emami Naeini, Hana Habib et al.CCS 2017 · 168 citations
- SoK: A Framework for Unifying At-Risk User ResearchNoel Warford, Tara Matthews, Kaitlyn Yang, Omer Akgul et al.S&P 2022 · 101 citations
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