Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/214080
Authors: 
Dencik, Lina
Redden, Joanna
Hintz, Arne
Warne, Harry
Year of Publication: 
2019
Citation: 
[Journal:] Internet Policy Review [ISSN:] 2197-6775 [Volume:] 8 [Year:] 2019 [Issue:] 2 [Pages:] 1-24
Abstract: 
Drawing on the first comprehensive investigation into the uses of data analytics in UK public services, this article outlines developments and practices surrounding the upsurge in data-driven forms of what we term 'citizen scoring'. This refers to the use of data analytics in government for the purposes of categorisation, assessment and prediction at both individual and population level. Combining Freedom of Information requests and semi-structured interviews with public sector workers and civil society organisations, we detail the practices surrounding these developments and the nature of concerns expressed by different stakeholder groups as a way to elicit the heterogeneity, tensions and negotiations that shape the contemporary landscape of data-driven governance. Described by practitioners as a way to achieve a 'golden view' of populations, we argue that data systems need to be situated in this context in order to understand the wider politics of such a 'view' and the implications this has for state-citizen relations in the scoring society.
Subjects: 
Datafication
Data governance
Data scores
Public sector
Citizenship
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by/3.0/de/legalcode
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.