Big data, big questions: the big data divide

Andrejevic, Mark (2014) Big data, big questions: the big data divide. International Journal of Communication, 8 1673-1689.

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Author Andrejevic, Mark
Title Big data, big questions: the big data divide
Journal name International Journal of Communication   Check publisher's open access policy
ISSN 1932-8036
Publication date 2014
Sub-type Article (original research)
Open Access Status File (Publisher version)
Volume 8
Start page 1673
End page 1689
Total pages 17
Place of publication Los Angeles, United States
Publisher University of Southern California, Annenberg Center for Communication
Collection year 2015
Language eng
Formatted abstract
This article extends the notion of a “big data divide” to describe the asymmetric relationship between those who collect, store, and mine large quantities of data, and those whom data collection targets. It argues that this key distinction highlights differential access to ways of thinking about and using data that potentially exacerbate power imbalances in the digital era. Drawing on original survey and interview findings about public attitudes toward collection and use of personal information, it maintains that the inability to anticipate the potential uses of such data is a defining attribute of data-mining processes, and thus of the forms of sorting and targeting that result from them.
Keyword Big data
Data mining
Digital divide
Predictive analytics
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
Centre for Critical and Cultural Studies Publications
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Created: Thu, 08 Jan 2015, 11:58:00 EST by Ms Stormy Wehi on behalf of School of Communication and Arts