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Who bears the burden of a pandemic? COVID-19 and the transfer of risk to digital platform workers

Author

Listed:
  • Paola Tubaro

    (TAU - TAckling the Underspecified - Inria Saclay - Ile de France - Inria - Institut National de Recherche en Informatique et en Automatique - LISN - Laboratoire Interdisciplinaire des Sciences du Numérique - Inria - Institut National de Recherche en Informatique et en Automatique - CentraleSupélec - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique, CNRS - Centre National de la Recherche Scientifique, LISN - Laboratoire Interdisciplinaire des Sciences du Numérique - Inria - Institut National de Recherche en Informatique et en Automatique - CentraleSupélec - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique)

  • Antonio A Casilli

    (I3 SES - Institut interdisciplinaire de l’innovation de Telecom Paris - Télécom ParisTech - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique, SES - Département Sciences Economiques et Sociales - Télécom ParisTech, SID - Sociologie Information-Communication Design - I3 SES - Institut interdisciplinaire de l’innovation de Telecom Paris - Télécom ParisTech - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique, IP Paris - Institut Polytechnique de Paris, IIAC - Institut interdisciplinaire d'anthropologie du contemporain - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique)

Abstract

In this paper, we analyze the recessionary effects of the COVID-19 pandemic on digital platform workers. The crisis has been described as a great work-from-home experiment, with platform ecosystems positing as its most advanced form. Our analysis differentiates the direct (health) and indirect (economic) risks incurred by workers, to critically assess the portrayal of platforms as buffers against crisis-induced layoffs. We submit that platform-mediated labor may eventually increase precarity, without necessarily reducing health risks for workers. Our argument is based on a comparison of the three main categories of platform work – "on-demand labor" (gigs such as delivery and transportation), "online labor" (tasks performed remotely, such as data annotation) and "social networking labor" (content generation and moderation). We discuss the strategies that platforms deploy to transfer risk from clients onto workers, thus deepening existing power imbalances between them. These results question the problematic equivalence between work-from-home and platform labor. Instead of attaining the advantages of the former in terms of direct and indirect risk mitigation, an increasing number of platformized jobs drift toward high economic and insuppressible health risks.

Suggested Citation

  • Paola Tubaro & Antonio A Casilli, 2022. "Who bears the burden of a pandemic? COVID-19 and the transfer of risk to digital platform workers," Post-Print hal-03369291, HAL.
  • Handle: RePEc:hal:journl:hal-03369291
    DOI: 10.1177/00027642211066027
    Note: View the original document on HAL open archive server: https://hal.science/hal-03369291
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    References listed on IDEAS

    as
    1. Paola Tubaro & Antonio A. Casilli & Marion Coville, 2020. "The trainer, the verifier, the imitator: Three ways in which human platform workers support artificial intelligence," Post-Print hal-02554196, HAL.
    2. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    3. Paola Tubaro & Antonio A. Casilli, 2019. "Micro-work, artificial intelligence and the automotive industry," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 46(3), pages 333-345, September.
    4. Arindrajit Dube & Jeff Jacobs & Suresh Naidu & Siddharth Suri, 2020. "Monopsony in Online Labor Markets," American Economic Review: Insights, American Economic Association, vol. 2(1), pages 33-46, March.
    5. Fabian Stephany & Michael Dunn & Steven Sawyer & Vili Lehdonvirta, 2020. "Distancing Bonus Or Downscaling Loss? The Changing Livelihood of Us Online Workers in Times of COVID‐19," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 111(3), pages 561-573, July.
    6. Stephany, Fabian & Dunn, Michael & Sawyer, Steven & Lehdonvirta, Vili, 2020. "Distancing Bonus or Downscaling Loss? The Changing Livelihood of US Online Workers in Times of COVID-19," SocArXiv vmg34, Center for Open Science.
    7. Katarina Giritli Nygren & Anna Olofsson, 2020. "Managing the Covid-19 pandemic through individual responsibility: the consequences of a world risk society and enhanced ethopolitics," Journal of Risk Research, Taylor & Francis Journals, vol. 23(7-8), pages 1031-1035, August.
    8. Borchert, Kathrin & Hirth, Matthias & Kummer, Michael E. & Laitenberger, Ulrich & Slivko, Olga & Viete, Steffen, 2018. "Unemployment and online labor," ZEW Discussion Papers 18-023, ZEW - Leibniz Centre for European Economic Research.
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    Keywords

    Platforms; digital labor; risk; work-from-home; COVID-19;
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