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Labour/Data Justice: A New Framework For Labour/Regulatory Datafication

McCann, Deirdre; Cruz-Santiago, Arely

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Arely Cruz-Santiago


Labour datafication – the accelerating quantification of working life encompassing data-use that extracts additional value from workers – is increasingly recognised as a dimension of the future of work. This article proposes a notion of ‘labour/data justice’ to capture both the deterioration of working life at the labour/data nexus and datafied strategies for effective regulation. We examine ‘labour/regulatory datafication,’ focusing on conduits to unacceptable work, and argue that data justice scholarship provides interlinked contributions that are vital to a labour/data justice framework. We identify key components of this framework: a global perspective; the centring of human agency; an interest in the datafied pursuit of labour rights; and methodologies that value the agency of research participants and support collaboration and co-production of knowledge.


McCann, D., & Cruz-Santiago, A. (2022). Labour/Data Justice: A New Framework For Labour/Regulatory Datafication. Journal of Law and Society, 49(4), 658-680.

Journal Article Type Article
Acceptance Date Apr 29, 2022
Online Publication Date Nov 25, 2022
Publication Date 2022-12
Deposit Date Jul 6, 2022
Publicly Available Date Mar 27, 2023
Journal Journal of Law and Society
Print ISSN 0263-323X
Electronic ISSN 1467-6478
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 49
Issue 4
Pages 658-680


Published Journal Article (298 Kb)

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Copyright Statement
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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