The tensions of deepfakes

被引:9
|
作者
Jacobsen, Benjamin N. [1 ,3 ]
Simpson, Jill [2 ]
机构
[1] Univ Durham, Dept Geog, Durham, England
[2] Univ York, York, England
[3] Univ Durham, Dept Geog, Durham DH1 3LE, England
关键词
Algorithms; deepfakes; image; social media; detection; generative adversarial networks (GANs);
D O I
10.1080/1369118X.2023.2234980
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
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.
引用
收藏
页码:1095 / 1109
页数:15
相关论文
共 50 条
  • [31] Can Deepfakes be created on a whim?
    Mehta, Pulak
    Jagatap, Gauri
    Gallagher, Kevin
    Timmerman, Brian
    Deb, Progga
    Garg, Siddharth
    Greenstadt, Rachel
    Dolan-Gavitt, Brendan
    COMPANION OF THE WORLD WIDE WEB CONFERENCE, WWW 2023, 2023, : 1324 - 1334
  • [32] Deepfakes: Deceptions, mitigations, and opportunities
    Mustak, Mekhail
    Salminen, Joni
    Mantymaki, Matti
    Rahman, Arafat
    Dwivedi, Yogesh K.
    JOURNAL OF BUSINESS RESEARCH, 2023, 154
  • [33] FaceSwap based DeepFakes Detection
    Nawaz, Marriam
    Javed, Ali
    Masood, Momina
    Nazir, Tahira
    INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 2022, 19 (06) : 891 - 896
  • [34] Survey on Deepfakes and Detection Techniques
    Li X.-R.
    Ji S.-L.
    Wu C.-M.
    Liu Z.-G.
    Deng S.-G.
    Cheng P.
    Yang M.
    Kong X.-W.
    Ruan Jian Xue Bao/Journal of Software, 2021, 32 (02): : 496 - 518
  • [35] Freedom of expression meets deepfakes
    Barber, Alex
    SYNTHESE, 2023, 202 (02)
  • [36] Freedom of expression meets deepfakes
    Alex Barber
    Synthese, 202
  • [37] Curious spectatorship in the age of deepfakes
    Oscar, Sara
    DIGITAL CREATIVITY, 2023, 34 (03) : 230 - 247
  • [38] How to do things with deepfakes
    Roberts, Tom
    SYNTHESE, 2023, 201 (02)
  • [39] Deepfakes and scientific knowledge dissemination
    Doss, Christopher
    Mondschein, Jared
    Shu, Dule
    Wolfson, Tal
    Kopecky, Denise
    Fitton-Kane, Valerie A.
    Bush, Lance
    Tucker, Conrad
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [40] Mockumentality: From hyperfaces to deepfakes
    Conte, Pietro
    WORLD LITERATURE STUDIES, 2019, 11 (04): : 11 - 25