SoK: A Framework for Unifying At-Risk User Research
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Abstract (arXiv)
At-risk users are people who experience elevated digital security, privacy, and safety threats because of what they do, who they are, where they are, or who they are with. In this systematization work, we present a framework for reasoning about at-risk users based on a wide-ranging meta-analysis of 85 papers. Across the varied populations that we examined (e.g., children, activists, women in developing regions), we identified 10 unifying contextual risk factors--such as oppression or stigmatization and access to a sensitive resource--which augment or amplify digital-safety threats and their resulting harms. We also identified technical and non-technical practices that at-risk users adopt to attempt to protect themselves from digital-safety threats. We use this framework to discuss barriers that limit at-risk users' ability or willingness to take protective actions. We believe that the security, privacy, and human-computer interaction research and practitioner communities can use our framework to identify and shape research investments to benefit at-risk users, and to guide technology design to better support at-risk users.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Dec 2021.
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Citing papers per year: 2024: 1; 2025: 0; 2026: 2.
3 papers.
- 2026How Well Can LLM Agents Simulate End-User Security and Privacy Attitudes and Behaviors?cited by 3
- 2024A Decade of Privacy-Relevant Android App Reviews: Large Scale Trendscited by 2
- 2026Psychological Influences of Conversational AI: Research and Design Directions for Reducing Harm and Promoting Well-Beingcited by 0
- 2026Psychological Influences of Conversational AI: Research and Design Directions for Reducing Harm and Promoting Well-Being27 Jul 2026
- 2026How Well Can LLM Agents Simulate End-User Security and Privacy Attitudes and Behaviors?6 Feb 2026
- 2024A Decade of Privacy-Relevant Android App Reviews: Large Scale Trends4 Mar 2024