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Privacy and surveillance attitudes during health crises: Acceptance of surveillance and privacy protection behaviours

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  • Ioannou, Athina
  • Tussyadiah, Iis

Abstract

The wide deployment of digital technologies for the management of the COVID-19 pandemic has triggered concerns about privacy and intrusion from government surveillance. This study investigates individual privacy and surveillance attitudes by developing a theoretical model to explain acceptance of government surveillance and privacy protection behaviours during health-crises, such as the COVID-19 pandemic. Results from a US sample reveal that people are concerned about the collection and use of their personal information via mobile applications and the monitoring of their online activities by authorities. Findings reveal the important roles of political trust and belief that governments' need to be proactive in protecting peoples’ welfare during a crisis that can increase acceptance of surveillance and thus assist in the management of the health crisis. Implications for research and practice are discussed.

Suggested Citation

  • Ioannou, Athina & Tussyadiah, Iis, 2021. "Privacy and surveillance attitudes during health crises: Acceptance of surveillance and privacy protection behaviours," Technology in Society, Elsevier, vol. 67(C).
    • Handle: RePEc:eee:teinso:v:67:y:2021:i:c:s0160791x21002499
    DOI: 10.1016/j.techsoc.2021.101774
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    References listed on IDEAS

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    Cited by:

    1. Fontes, Catarina & Corrigan, Caitlin & Lütge, Christoph, 2023. "Governing AI during a pandemic crisis: Initiatives at the EU level," Technology in Society, Elsevier, vol. 72(C).
    2. Kao, Yu-Hui & Sapp, Stephen G., 2022. "The effect of cultural values and institutional trust on public perceptions of government use of network surveillance," Technology in Society, Elsevier, vol. 70(C).
    3. Saheb, Tahereh & Sabour, Elham & Qanbary, Fatimah & Saheb, Tayebeh, 2022. "Delineating privacy aspects of COVID tracing applications embedded with proximity measurement technologies & digital technologies," Technology in Society, Elsevier, vol. 69(C).
    4. Fontes, Catarina & Hohma, Ellen & Corrigan, Caitlin C. & Lütge, Christoph, 2022. "AI-powered public surveillance systems: why we (might) need them and how we want them," Technology in Society, Elsevier, vol. 71(C).
    5. Wang, Victoria & Tucker, John V., 2023. "People watching: Abstractions and orthodoxies of monitoring," Technology in Society, Elsevier, vol. 72(C).

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