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Big Data and surveillance : hype, commercial logics and new intimate spheres

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Ball_2020_BDS_BigData_CC.pdf (228.8Kb)
Date
14/05/2020
Author
Ball, Kirstie
Webster, William
University of St Andrews.School of Management
Keywords
Suveillance
Organisational context
Intimate spheres
Big Data Analytics
Commercial logics
Information trajectory
HD28 Management. Industrial Management
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Abstract
Big Data Analytics promises to help companies and public sector service providers anticipate consumer and service user behaviours so that they can be targeted in greater depth. The attempts made by these organisations to connect analytically with users raise questions about whether surveillance, and its associated ethical and rights-based concerns, are intensified. The articles in this special themed issue explore this question from both organisational and user perspectives. They highlight the hype which firms use to drive consumer, employee and service user engagement with analytics within both private and public spaces. Further, they explore extent to which, through Big Data, there is an attempt to expand surveillance into the emotional registers of domestic, embodied experience. Collectively, the papers reveal a fascinating nexus between the much-vaunted potential of analytics, the data practices themselves and the newly configured intimate spheres which have been drawn into the commercial value chain. Together, they highlight the need for conceptual and regulatory innovation so that analytics in practice may be better understood and critiqued. Whilst there is now a rich variety of scholarship on Big Data Analytics, critical perspectives on the organising practices of Big Data Analytics and its surveillance implications are thin on the ground. Combined, the articles published in this special theme begin to address this shortcoming.
Citation
Ball , K & Webster , W (eds) 2020 , ' Big Data and surveillance : hype, commercial logics and new intimate spheres ' , Big Data & Society , vol. 7 , no. 1 . https://doi.org/10.1177/2053951720925853
Publication
Big Data & Society
Status
Non peer reviewed
DOI
https://doi.org/10.1177/2053951720925853
ISSN
2053-9517
Type
Journal item
Rights
Copyright © The Author(s) 2020. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/19959

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