Stop the Spread: A Contextual Integrity Perspective on the Appropriateness of COVID-19 Vaccination Certificates
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Abstract (arXiv)
We present an empirical study exploring how privacy influences the acceptance of vaccination certificate (VC) deployments across different realistic usage scenarios. The study employed the privacy framework of Contextual Integrity, which has been shown to be particularly effective in capturing people's privacy expectations across different contexts. We use a vignette methodology, where we selectively manipulate salient contextual parameters to learn whether and how they affect people's attitudes towards VCs. We surveyed 890 participants from a demographically-stratified sample of the US population to gauge the acceptance and overall attitudes towards possible VC deployments to enforce vaccination mandates and the different information flows VCs might entail. Analysis of results collected as part of this study is used to derive general normative observations about different possible VC practices and to provide guidance for the possible deployments of VCs in different contexts.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 May 2022.
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Citing papers per year: 2024: 1; 2025: 2; 2026: 1.
4 papers.
- 2024Privacy Bias in Language Models: A Contextual Integrity-based Auditing Metriccited by 6
- 2025How do we measure privacy in text? A survey of text anonymization metricscited by 5
- 2025Not My Agent, Not My Boundary? Elicitation of Personal Privacy Boundaries in AI-Delegated Information Sharingcited by 3
- 2026CIDER: A Dataset of Contextual Disclosure Boundaries for Privacy Preference Alignmentcited by 0
- 2026CIDER: A Dataset of Contextual Disclosure Boundaries for Privacy Preference Alignment10 Aug 2026
- 2025How do we measure privacy in text? A survey of text anonymization metrics30 Nov 2025
- 2025Not My Agent, Not My Boundary? Elicitation of Personal Privacy Boundaries in AI-Delegated Information Sharing26 Sep 2025
- 2024Privacy Bias in Language Models: A Contextual Integrity-based Auditing Metric5 Sep 2024