TY  - JOUR
PY  - 2023//
TI  - Examining public perception and cognitive biases in the presumed influence of deepfakes threat: empirical evidence of third person perception from three studies
JO  - Asian journal of communication
A1  - Ahmed, Saifuddin
SP  - 308
EP  - 331
VL  - 33
IS  - 3
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 0129-2986
UR  - http://dx.doi.org/10.1080/01292986.2023.2194886
ID  - ref1
ER  -