Examining public perception and cognitive biases in the presumed influence of deepfakes threat: empirical evidence of third person perception from three studies

Saifuddin Ahmed*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Deepfakes have a pernicious realism advantage over other common forms of disinformation, yet little is known about how citizens perceive deepfakes. Using the third-person effects framework, this study is one of the first attempts to examine public perceptions of deepfakes. Evidence across three studies in the US and Singapore supports the third-person perception (TPP) bias, such that individuals perceived deepfakes to influence others more than themselves (Study 1–3). The same subjects also show a bias in perceiving themselves as better at discerning deepfakes than others (Study 1–3). However, a deepfakes detection test suggests that the third-person perceptual gaps are not predictive of the real ability to distinguish fake from real (Study 3). Furthermore, the biases in TPP and self-perceptions about their own ability to identify deepfakes are more intensified among those with high cognitive ability (Study 2-3). The findings contribute to third-person perception literature and our current understanding of citizen engagement with deepfakes.

Original languageEnglish
Pages (from-to)308-331
Number of pages24
JournalAsian Journal of Communication
Volume33
Issue number3
DOIs
Publication statusPublished - 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© AMIC/WKWSCI-NTU 2023.

ASJC Scopus Subject Areas

  • Communication
  • Education

Keywords

  • cognitive ability
  • deep fakes
  • Deepfakes
  • first-person perception
  • third-person perception

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