 Regimes of justification in the datafied workplace: the case of hiringLina Dencik and Sanne Stevens LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library Abstract: The uptake of data-driven hiring systems has introduced important questions about how decisions about who is eligible for jobs, and why, are changing. To explore this, the article draws on interviews with prominent providers of data-driven hiring systems and analyses the way they situate the provision of tools in relation to existing hiring processes, what problems they claim to solve, and the nature of the solutions they provide. While the ideological grounds of datafication have been well-established, privileging data-driven knowledge production as less biased, more objective, and with superior insights than other forms of information-gathering, in hiring, we find legitimisation frames extend to ways in which work and workers should be organised and assessed. Drawing on the notion of ‘regimes of justification’, we argue that such legitimisation frames in turn invoke certain normative expectations about what is just and unjust organised around a vision of the common good. Keywords: automation; datafication; hiring; regimes of justification; work (search for similar items in EconPapers) Published in New Media and Society, 28, October, 2021. ISSN: 1461-4448 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ehl:lserod:114330 Access Statistics for this paper More papers in LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library LSE Library Portugal Street London, WC2A 2HD, U.K.. Contact information at EDIRC. |
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