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The tensions of deepfakes

Jacobsen, Benjamin N.; Simpson, Jill

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Authors

Benjamin N. Jacobsen

Jill Simpson



Abstract

In recent years, deepfakes have become part and parcel of contemporary algorithmic culture. It is regularly claimed that they have the potential to introduce novel modes of societal disruption, violence, and harm. Yet, over-emphasising the power of deepfakes risks occluding frictions, struggles, and logics that already persist in the digital landscape. Arguing for a conceptualisation of deepfakes as an assemblage of differential tensions in society, we explore how they represent both a rupture and a continuation of the variegated politics of the image in the social world. The paper analyses the tensions of deepfakes through three distinct case studies: bodies, politics, and ideas of objectivity. Ultimately, we argue that the tensions and ethicopolitical implications of deepfakes are not reducible to a problem that can be solved through a logic of algorithmic detection and verification.

Citation

Jacobsen, B. N., & Simpson, J. (2023). The tensions of deepfakes. Information, Communication and Society, 27(6), 1095-1109. https://doi.org/10.1080/1369118x.2023.2234980

Journal Article Type Article
Acceptance Date Jun 14, 2023
Online Publication Date Jul 13, 2023
Publication Date 2023
Deposit Date Aug 16, 2023
Publicly Available Date Aug 16, 2023
Journal Information, Communication & Society
Print ISSN 1369-118X
Electronic ISSN 1468-4462
Publisher Taylor and Francis Group
Peer Reviewed Peer Reviewed
Volume 27
Issue 6
Pages 1095-1109
DOI https://doi.org/10.1080/1369118x.2023.2234980
Keywords Library and Information Sciences; Communication
Public URL https://durham-repository.worktribe.com/output/1719739

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Licence
http://creativecommons.org/licenses/by/4.0/

Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.





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