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

McCann, Deirdre; Cruz-Santiago, Arely

Abstract

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.

Citation

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. https://doi.org/10.1111/jols.12392

• 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
• DOI: https://doi.org/10.1111/jols.12392
• Public URL: https://durham-repository.worktribe.com/output/1201810