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

• Published in: Asian journal of communication Vol. 33; no. 3; pp. 308 - 331
• Main Author: Ahmed, Saifuddin
• Format: Journal Article
• Language: English
• Published: Abingdon Routledge 04.05.2023; Taylor & Francis Ltd
• Subjects: Bias; Cognitive ability; Cognitive bias; deep fakes; Deepfakes; first-person perception; Perceptions; Public opinion; Social perception; third-person perception
• ISSN: 0129-2986; 1742-0911
• DOI: 10.1080/01292986.2023.2194886

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.