Cited by 214Misinformation and Its ImpactsEthics and Social Impacts of AIDigital Media Forensic Detection

The Social Impact of Deepfakes

Hancock, Jeffrey T., Bailenson, Jeremy N.·2021·Cyberpsychology, Behavior, and Social Networking

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Crossref · 10.1089/cyber.2021.29208.jth

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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  • Prior research has largely focused on the potential societal consequences of AI-generated misinformation rather than its real-world prevalence.

    “However, prior research has largely focused on its potential societal consequences rather than its real-world prevalence.”

    From Characterizing AI-Generated Misinformation on Social Media (2025) · cites this paper as Hancock and Bailenson 2021

  • AI-generated content has become increasingly prevalent on social media.

    “AIgenerated content (e. g., deepfakes) - artificially generated videos, images, and audio designed to mimic real individuals - has become increasingly prevalent on social media, raising critical concerns about their role in spreading misinformation (Hancock and Bailenson 2021; Groh et al. 2024; Vaccari and Chadwick 2020).”

    From Characterizing AI-Generated Misinformation on Social Media (2025) · cites this paper as Hancock and Bailenson 2021

  • The characteristics of AI-generated misinformation on social media are poorly understood.

    “Despite growing concerns, the characteristics of AIgenerated misinformation on social media are poorly understood.”

    From Characterizing AI-Generated Misinformation on Social Media (2025) · cites this paper as Hancock and Bailenson 2021

  • There is a lack of robust detection techniques for text deepfakes.

    “highlighting the lack of robust detection techniques for text deepfakes and the overlap with human-generated fake content.”
  • Recent advances in technology for hyper-realistic manipulations to video pose a threat to traditional standards of evidence and trust in media.

    “Recent advances in technology for algorithmically applying hyper-realistic manipulations to video are simultaneously enabling new forms of interpersonal communication and posing a threat to traditional standards of evidence and trust in media1–8.”

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Authors
Hancock, J. T., & Bailenson, J. N.
Affiliations
Stanford University (US)
Corresponding author
  • Hancock, Jeffrey T.
  • Bailenson, Jeremy N.
Venue
Cyberpsychology, Behavior, and Social Networking
Published
2021-03-01
Volume
24
Issue
3
Pages
149-152
ISSN
  • 2152-2715 (ISSN-L)
  • 2152-2723
OpenAlex
W3136860328
Cited by
214
References
3
Citations by year
2026: 47 · 2025: 58 · 2024: 54 · 2023: 37 · 2022: 15 · 2021: 3
Type
journal article
Language
en
Open access
closed
Locations
  • Cyberpsychology Behavior and Social Networking (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
Keywords
deepfakes, social impact, synthetic media, misinformation, media manipulation

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