Data colonialism through accumulation by dispossession: New metaphors for daily data

dc.contributor.authorThatcher, Jim
dc.contributor.authorO'Sullivan, David
dc.contributor.authorMahmoudi, Dillon
dc.date.accessioned2018-03-19T15:00:24Z
dc.date.available2018-03-19T15:00:24Z
dc.date.issued2015
dc.description.abstractIn 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. Amidst 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.en_US
dc.description.urihttps://ssrn.com/abstract=2709498en_US
dc.format.extent27 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/M2PK0738T
dc.identifier.citationThatcher, Jim and O'Sullivan, David and Mahmoudi, Dillon, Data Colonialism Through Accumulation by Dispossession: New Metaphors for Daily Data (December 30, 2015). Environment and Planning D, Forthcoming. Available at SSRN: https://ssrn.com/abstract=2709498en_US
dc.identifier.urihttp://hdl.handle.net/11603/7888
dc.language.isoen_USen_US
dc.publisherSageen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Geography and Environmental Systems Department Collection
dc.rightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please contact the author.
dc.subjectdata colonialismen_US
dc.subjectbig dataen_US
dc.subjecteveryday lifeen_US
dc.subjectaccumulation by dispossessionen_US
dc.subjectcommodificationen_US
dc.subjectcritical data studiesen_US
dc.titleData colonialism through accumulation by dispossession: New metaphors for daily dataen_US
dc.typeTexten_US

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