Stop the Spread: A Contextual Integrity Perspective on the Appropriateness of COVID-19 Vaccination Certificates. Zhang, S., Shvartzshnaider, Y., Feng, Y., Nissenbaum, H., & Sadeh, N. In 2022 ACM Conference on Fairness, Accountability, and Transparency, of FAccT '22, pages 1657–1670, New York, NY, USA, June, 2022. Association for Computing Machinery.
Paper doi abstract bibtex 14 downloads 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.
@inproceedings{zhang_stop_2022,
address = {New York, NY, USA},
series = {{FAccT} '22},
title = {Stop the {Spread}: {A} {Contextual} {Integrity} {Perspective} on the {Appropriateness} of {COVID}-19 {Vaccination} {Certificates}},
isbn = {9781450393522},
shorttitle = {Stop the {Spread}},
url = {https://doi.org/10.1145/3531146.3533222},
doi = {10.1145/3531146.3533222},
abstract = {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.},
urldate = {2022-06-21},
booktitle = {2022 {ACM} {Conference} on {Fairness}, {Accountability}, and {Transparency}},
publisher = {Association for Computing Machinery},
author = {Zhang, Shikun and Shvartzshnaider, Yan and Feng, Yuanyuan and Nissenbaum, Helen and Sadeh, Norman},
month = jun,
year = {2022},
keywords = {contextual integrity, information privacy, privacy norms, vaccination certificates},
pages = {1657--1670},
}
Downloads: 14
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