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Cited by 151Ethics and Social Impacts of AIBig Data Technologies and ApplicationsPrivacy, Security, and Data Protection

When big data meets dataveillance: the hidden side of analytics

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Degli Esposti, Sara·2014·Surveillance & Society
DOI 10.24908/ss.v12i2.5113
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Abstract

Among the numerous implications of digitalization, the debate about ‘big data’ has gained momentum. The central idea capturing attention is that digital data represents the newest key asset organizations should use to gain a competitive edge. Data can be sold, matched with other data, mined, and used to make inferences about anything, from people’s behavior to weather conditions. Particularly, what is known as ‘big data analytics’ — i.e. the modeling and analysis of big data — has become the capability which differentiates, from the rest of the market, the most successful companies. An entire business ecosystem has emerged around the digital data asset, and new types of companies, such as analytical competitors and analytical deputies, are proliferating as a result of the analysis of digital data. However, virtually absent from the big data debate is any mention of one of its constitutive mechanisms — that is, dataveillance. Dataveillance — which refers to the systematic monitoring of people or groups, by means of personal data systems in order to regulate or govern their behavior — sets the stage and reinforces the development of the data economy celebrated in the big data debate. This article aims to make visible the interdependence between dataveillance, big data and analytics by providing real examples of how companies collect, process, analyze and use data to achieve their business objectives.

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  • The rapid acceleration of surveillance capitalism has been enabled by exploitative agreements between data subjects and controllers in which data subjects cannot negotiate the terms and often lack knowledge of the full extent or legalities of personal data collection and use.

    “The rapid acceleration of surveillance capitalism has been enabled by exploitative agreements between data subjects and controllers-what Peacock (2014) has called 'unconscionable contracts'-in which the data subjects have no ability to negotiate the terms of the agreement and often insufficient knowledge of the full extent or legalities of personal data collection and use”

    From Social Injustice in Surveillance Capitalism (2017) · cites this paper as Degli Esposti 2014

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Authors
Degli Esposti, S.
Venue
Surveillance & Society
Publisher
Queen's University Library
Published
2014-05-09
Volume
12
Issue
2
Pages
209-225
ISSN
1477-7487 (ISSN-L)
DOI
10.24908/ss.v12i2.5113
OpenAlex
W1597312622
Cited by
151
References
19
Citations by year
2026: 3 · 2025: 12 · 2024: 12 · 2023: 13 · 2022: 17 · 2021: 16 · 2020: 18 · 2019: 12 · 2018: 8 · 2017: 19 · 2016: 15 · 2015: 6
FWCI
37.19
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • Surveillance & Society (publishedVersion, cc-by-nc-nd)
  • Pure (Coventry University) (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Keywords
dataveillance, big data, big data analytics, data economy, personal data, surveillance, data collection, data-driven business, digitalization, behavioral regulation

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