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Racial formations as data formations

Phan, Thao, Wark, Scott (2021) Racial formations as data formations. Big Data & Society, 8 (2). pp. 1-5. ISSN 2053-9517. (doi:10.1177/20539517211046377) (KAR id:97292)

Abstract

This commentary uses Paul Gilroy’s controversial claim that new technoscientific processes are instituting an ‘end to race’ as a provocation to discuss the epistemological transformation of race in algorithmic culture. We situate Gilroy’s provo- cation within the context of an abolitionist agenda against racial-thinking, underscoring the relationship between his post-race polemic and a post-visual discourse. We then discuss the challenges of studying race within regimes of com- putation, which rely on structures that are, for the most part, opaque; in particular, modes of classification that operate through proxies and abstractions and that figure racialized bodies not as single, coherent subjects, but as shifting clusters of data. We argue that in this new regime, race emerges as an epiphenomenon of processes of classifying and sorting – what we call ‘racial formations as data formations’. This discussion is significant because it raises new theoretical, meth- odological and political questions for scholars of media and critical algorithmic studies. It asks: how are we supposed to think, to identify and to confront race and racialisation when they vanish into algorithmic systems that are beyond our perception? What becomes of racial formations in post-visual regimes?

Item Type: Article
DOI/Identification number: 10.1177/20539517211046377
Uncontrolled keywords: Racial formations, data formations, algorithmic culture, Paul Gilroy, post-race, post-visual
Divisions: Divisions > Division of Arts and Humanities > School of Arts
Funders: Wellcome Trust (https://ror.org/029chgv08)
Depositing User: Scott Wark
Date Deposited: 05 Oct 2022 12:10 UTC
Last Modified: 06 Oct 2022 15:33 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/97292 (The current URI for this page, for reference purposes)

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