Deepfake Ethics

Deepfake Ethics is a normative framework within digital communication ethics that specifically governs the creation, dissemination, and use of synthetic media generated by artificial intelligence, distinguishing itself by addressing the ethical implications of hyper-realistic, deceptive, or manipulative representations of individuals without their consent.

37

Publications

3K

Citations

95

Authors

64

Institutions

Publications per year

2017–2026

37

Authors

95

  1. JK
    Jan Kietzmann

    Simon Fraser University, Canada

    2 publications · 227 citations

    2

    h-index

  2. MR
    Mohamed R. Shoaib

    Menoufia University, Egypt

    2 publications · 112 citations

    2

    h-index

  3. ZW
    Zefan Wang

    Jinan University, China

    2 publications · 112 citations

    2

    h-index

  4. KP
    Kirk Plangger

    King's College London, United Kingdom

    2 publications · 227 citations

    2

    h-index

  5. MT
    Milad Taleby Ahvanooey

    Nanjing University of Science and Technology, China

    2 publications · 112 citations

    2

    h-index

1–5 of 95

Venues

  1. 2

    h-index

  2. Porn Studies

    2 publications · 147 citations

    2

    h-index

  3. Nursing Reports

    1 publications · 18 citations

    1

    h-index

  4. eYLS (Yale Law School)

    Repository · 1 publications · 14 citations

    1

    h-index

  5. Journal of Intellectual Property Law & Practice

    JIPLP · 1 publications · 179 citations

    1

    h-index

1–5