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A Privacy Paradox? Impact of Privacy Concerns on Willingness to Disclose COVID-19 Health Status in the United States

Published: 08 November 2022 Publication History

Abstract

Privacy concerns around sharing personal health information are frequently cited as hindering COVID-19 contact tracing app adoption. We conducted a nationally representative survey of 304 adults in the United States to investigate their attitudes towards sharing two types of COVID-19 health status (COVID-19 Diagnosis, Exposure to COVID-19) with three different audiences (Anyone, Frequent Contacts, Occasional Contacts). Using the Internet User’s Information Privacy Concern (IUIPC) scale, we were able to identify the effect of different types of privacy concerns on sharing this information with various audiences. We found that privacy concerns around data Collection predicted lower willingness to share either type of health status to all of these audiences. However, desire for Control and for Awareness of data practices increased willingness to share health information with certain audiences. We discuss the implications of our findings.

References

[1]
Samuel Altmann, Luke Milsom, Hannah Zillessen, Raffaele Blasone, Frederic Gerdon, Ruben Bach, Frauke Kreuter, Daniele Nosenzo, Severine Toussaert, and Johannes Abeler. 2020. Acceptability of app-based contact tracing for COVID-19: Cross-country survey study. JMIR mHealth and uHealth 8, 8 (Aug. 2020). https://doi.org/10.2196/19857
[2]
Susanne Barth, Menno D.T. de Jong, Marianne Junger, Pieter H. Hartel, and Janina C. Roppelt. 2019. Putting the privacy paradox to the test: Online privacy and security behaviors among users with technical knowledge, privacy awareness, and financial resources. Telematics and Informatics 41 (Aug. 2019), 55–69. https://doi.org/10.1016/j.tele.2019.03.003
[3]
Tobias Dienlin and Sabine Trepte. 2014. Is the privacy paradox a relic of the past? An in-depth analysis of privacy attitudes and privacy behaviors. European Journal of Social Psychology 45, 3 (July 2014), 285–297. https://doi.org/10.1002/ejsp.2049
[4]
Sophia Xiaoxia Duan and Hepu Deng. 2022. Exploring privacy paradox in contact tracing apps adoption. Internet Research ahead-of-print, ahead-of-print (March 2022). https://doi.org/10.1108/INTR-03-2021-0160
[5]
Nina Gerber, Paul Gerber, and Melanie Volkamer. 2018. Explaining the privacy paradox: A systematic review of literature investigating privacy attitude and behavior. Computers & Security 77 (Aug. 2018), 226–261. https://doi.org/10.1016/j.cose.2018.04.002
[6]
Jack Jamieson, Daniel A. Epstein, Yunan Chen, and Naomi Yamashita. April. Unpacking Intention and Behavior: Explaining Contact Tracing App Adoption and Hesitancy in the United States. CHI ’22: CHI Conference on Human Factors in Computing Systems (2022 April), 1–14. https://doi.org/10.1145/3491102.3501963
[7]
Jack Jamieson, Naomi Yamashita, Daniel A. Epstein, and Yunan Chen. 2021. Deciding If and How to Use a COVID-19 Contact Tracing App: Influences of Social Factors on Individual Use in Japan. Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (Oct. 2021), 1–30. https://doi.org/10.1145/3479868
[8]
Spyros Kokolakis. 2017. Privacy attitudes and privacy behaviour: A review of current research on the privacy paradox phenomenon. Computers & Security 64 (Jan. 2017), 122–134. https://doi.org/10.1016/j.cose.2015.07.002
[9]
Jiesen Lin, Lemuria Carter, and Dapeng Liu. 2021. Privacy concerns and digital government: exploring citizen willingness to adopt the COVIDSafe app. European Journal of Information Systems 30, 4 (May 2021), 389–402. https://doi.org/10.1080/0960085X.2021.1920857
[10]
Naresh K. Malhotra, James Agarwal, and Sung S. Kim. 2004. Internet Users’ Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model. Information Systems Research 15, 4 (Dec. 2004), 336–355. https://doi.org/10.1287/isre.1040.0032
[11]
World Health Organization. 2021. Contact tracing in the context of COVID-19: interim guidance. Retrieved May 23, 2022 from https://www.who.int/publications/i/item/contact-tracing-in-the-context-of-covid-19
[12]
Iryna Pentina, Lixuan Zhang, Hatem Bata, and Ying Chen. 2016. Exploring privacy paradox in information-sensitive mobile app adoption: A cross-cultural comparison. Computers in Human Behavior 65 (Dec. 2016), 409–419. https://doi.org/10.1016/j.chb.2016.09.005
[13]
Luca Mosetti Scherwin Bajka Renate Schubert, Ioana Marinica. 2022. Mitigating the Privacy Paradox Through Higher Privacy Literacy? Insights from a Lab Experiment Based on Facebook Data. Collegium Helveticum(2022). https://collegium.ethz.ch/wp-content/uploads/2022/05/Schubert-Marinica-Mosetti-Bajka-Mitigating-the-Privacy-Paradox2.pdf
[14]
Daniel J. Solove. 2008. Understanding PRivacy. Harvard University Press (May 2008), 420. https://ssrn.com/abstract=1127888
[15]
Jason Wiese, Patrick Gage Kelley, Lorrie Faith Cranor, Laura Dabbish, Jason I. Hong, and John Zimmerman. 2011. Are you close with me? are you nearby?: investigating social groups, closeness, and willingness to share. Proceedings of the 13th international conference on Ubiquitous computing (Sept. 2011), 197–206. https://doi.org/10.1145/2030112.2030140
[16]
Pamela Wisniewski and Xinru Page. 2022. Modern Socio-Technical Perspectives on Privacy. Chapter 2, 15–19. https://doi.org/10.1007/978-3-030-82786-1_2

Cited By

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  • (2024)What Factors Affect People's Opinions Toward COVID-19 and Contact Tracing Apps in the United StatesInternational Journal of Healthcare Information Systems and Informatics10.4018/IJHISI.35390119:1(1-31)Online publication date: 30-Aug-2024
  • (2024)Advice from a Doctor or AI? Understanding Willingness to Disclose Information Through Remote Patient Monitoring to Receive Health AdviceProceedings of the ACM on Human-Computer Interaction10.1145/36869258:CSCW2(1-34)Online publication date: 8-Nov-2024

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      cover image ACM Conferences
      CSCW'22 Companion: Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing
      November 2022
      318 pages
      ISBN:9781450391900
      DOI:10.1145/3500868
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Published: 08 November 2022

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      1. COVID-19
      2. IUIPC
      3. Information Disclosure
      4. Privacy Pardox

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      View all
      • (2024)What Factors Affect People's Opinions Toward COVID-19 and Contact Tracing Apps in the United StatesInternational Journal of Healthcare Information Systems and Informatics10.4018/IJHISI.35390119:1(1-31)Online publication date: 30-Aug-2024
      • (2024)Advice from a Doctor or AI? Understanding Willingness to Disclose Information Through Remote Patient Monitoring to Receive Health AdviceProceedings of the ACM on Human-Computer Interaction10.1145/36869258:CSCW2(1-34)Online publication date: 8-Nov-2024

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