Environment and Planning D Society and Space· 2016Q1
Data colonialism through accumulation by dispossession: New metaphors for daily data
- 504citations
- Q1SCImago
- 2016year
Short summary
Big data emerges as a commodity only when individual data points are algorithmically linked, representing a form of capitalist 'accumulation by dispossession' that colonizes and commodifies everyday life.
AI-generated from the title and abstract; the full text is not read.
Key points
- Big data becomes a commodity when individual data points are linked algorithmically.
- This data capture process is an asymmetric power relationship, dispossessing individuals of their generated data.
- This phenomenon is framed as capitalist 'accumulation by dispossession' that colonizes and commodifies everyday life.
- The promises of big data mask unfolding processes of data colonialism.
AI-generated from the title and abstract; the full text is not read.
Abstract
In recent years, much has been written on ‘big data’ in both the popular and academic press. After the hubristic declaration of the ‘end of theory’ more nuanced arguments have emerged, suggesting that increasingly pervasive data collection and quantification may have significant implications for the social sciences, even if the social, scientific, political, and economic agendas behind big data are less new than they are often portrayed. Compared to the boosterish tone of much of its press, academic critiques of big data have been relatively muted, often focusing on the continued importance of more traditional forms of domain knowledge and expertise. Indeed, many academic responses to big data enthusiastically celebrate the availability of new data sources and the potential for new insights and perspectives they may enable. Undermining many of these critiques is a lack of attention to the role of technology in society, particularly with respect to the labor process, the continued extension of labor relations into previously private times and places, and the commoditization of more and more aspects of everyday life. In this article, we parse a variety of big data definitions to argue that it is only when individual datums by the million, billion, or more are linked together algorithmically that ‘big data’ emerges as a commodity. Such decisions do not occur in a vacuum but as part of an asymmetric power relationship in which individuals are dispossessed of the data they generate in their day-to-day lives. We argue that the asymmetry of this data capture process is a means of capitalist ‘accumulation by dispossession’ that colonizes and commodifies everyday life in ways previously impossible. Situating the promises of ‘big data’ within the utopian imaginaries of digital frontierism, we suggest processes of data colonialism are actually unfolding behind these utopic promises. Amid private corporate and academic excitement over new forms of data analysis and visualization, situating big data as a form of capitalist expropriation and dispossession stresses the urgent need for critical, theoretical understandings of data and society.
The authors' abstract, as published at the source. Environment and Planning D Society and Space, 2016 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Safety Research
Safety ResearchSocial Sciences