Addressing labour exploitation in the data science pipeline: views of precarious US-based crowdworkers on adversarial and co-operative interventions

Bates, J. orcid.org/0000-0001-7266-8470, Gerakopoulou, E. and Checco, A. (2023) Addressing labour exploitation in the data science pipeline: views of precarious US-based crowdworkers on adversarial and co-operative interventions. Journal of Information, Communication and Ethics in Society, 21 (3). ISSN 1477-996X

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Item Type: Article
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© 2023, Emerald Publishing Limited. This is an author-produced version of a paper subsequently published in Journal of Information, Communication and Ethics in Society. This version is distributed under the terms of the Creative Commons Attribution-NonCommercial Licence (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You may not use the material for commercial purposes.

Keywords: Crowdwork; Labour ethics; Precarity; Data; Artificial intelligence
Dates:
  • Published: 4 July 2023
  • Published (online): 26 May 2023
  • Accepted: 27 April 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 05 May 2023 08:57
Last Modified: 03 Oct 2024 15:00
Status: Published
Publisher: Emerald
Refereed: Yes
Identification Number: 10.1108/JICES-08-2022-0069
Open Archives Initiative ID (OAI ID):

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