Cited by 104COVID-19 Digital Contact TracingPrivacy, Security, and Data ProtectionDigitalization, Law, and Regulation

Innovation under pressure: Implications for data privacy during the Covid-19 pandemic

Open access
Newlands, Gemma, Lutz, Christoph, Tamò-Larrieux, Aurelia, Villaronga, Eduard Fosch, Harasgama, Rehana, Scheitlin, Gil·2020·Big Data & Society

Abstract

The global Covid-19 pandemic has resulted in social and economic disruption unprecedented in the modern era. Many countries have introduced severe measures to contain the virus, including travel restrictions, public event bans, non-essential business closures and remote work policies. While digital technologies help governments and organizations to enforce protection measures, such as contact tracing, their rushed deployment and adoption also raises profound concerns about surveillance, privacy and data protection. This article presents two critical cases on digital surveillance technologies implemented during the Covid-19 pandemic and delineates the privacy implications thereof. We explain the contextual nature of privacy trade-offs during a pandemic and explore how regulatory and technical responses are needed to protect privacy in such circumstances. By providing a multi-disciplinary conversation on the value of privacy and data protection during a global pandemic, this article reflects on the implications digital solutions have for the future and raises the question of whether there is a way to have expedited privacy assessments that could anticipate and help mitigate adverse privacy implications these may have on society.

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Crossref · 10.1177/2053951720976680

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  • During the Covid-19 pandemic, organizations started to roll out systems such as InterGuard to monitor the remote workforce by collecting and analyzing computer activities such as screenshots, login times, and keystrokes as well as measuring productivity and idle time.

    “During the Covid-19 pan-demic, which required millions of workers to work remotely, organizations started to roll out systems such as InterGuard to monitor the remote workforce by collecting and analyzing computer activities such as screenshots, login times, and keystrokes as well as mea-suring productivity and idle time (Laker et al., 2020; Newlands et al., 2020).”

    From Algorithmic management in a work context (2021) · cites this paper as Newlands et al., 2020

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References 60 · Cited by 104

Authors
Newlands, G., Lutz, C., Tamò-Larrieux, A., Villaronga, E. F., Harasgama, R., & Scheitlin, G.
Affiliations
  • BI Norwegian Business School (NO)
  • FAA – Institute for Work and Employment Research, University of St Gallen, St Gallen, Switzerland
  • eLaw Center for Law and Digital Technologies, Leiden University, Leiden, The Netherlands
  • Bär & Karrer Ag, Zurich, Switzerland
  • University of Zurich (CH)
Corresponding author
Lutz, Christoph
Venue
Big Data & Society
Published
2020-07
Volume
7
Issue
2
ISSN
2053-9517 (ISSN-L)
OpenAlex
W3107168660
Cited by
104
References
60
Citations by year
2026: 5 · 2025: 10 · 2024: 19 · 2023: 25 · 2022: 28 · 2021: 17
FWCI
16.46
Type
journal article
Language
en
Open access
Locations
  • Big Data & Society (publishedVersion, cc-by)
  • NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Universität St. Gallen (Postdoctoral Fellowship Nr. 1031564)
  • Norges Forskningsråd (275347)
  • Universität Zürich (Digital Society Initiative Fellowship)
  • H2020 Marie Skłodowska-Curie Actions (707404)
Topics
  • Physical Sciences › Computer Science › Information Systems › COVID-19 Digital Contact Tracing
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
  • Social Sciences › Law › Digitalization, Law, and Regulation
Keywords
COVID-19 pandemic, data privacy, digital surveillance, contact tracing, privacy trade-offs, data protection, privacy regulation, privacy impact assessment, remote work, public health measures, digital technologies

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