{"title":"在deepfakes威胁的假定影响中检验公众感知和认知偏见:来自三项研究的第三人称感知的经验证据","authors":"Saifuddin Ahmed","doi":"10.1080/01292986.2023.2194886","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":46924,"journal":{"name":"Asian Journal of Communication","volume":"33 1","pages":"308 - 331"},"PeriodicalIF":1.5000,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Examining public perception and cognitive biases in the presumed influence of deepfakes threat: empirical evidence of third person perception from three studies\",\"authors\":\"Saifuddin Ahmed\",\"doi\":\"10.1080/01292986.2023.2194886\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":46924,\"journal\":{\"name\":\"Asian Journal of Communication\",\"volume\":\"33 1\",\"pages\":\"308 - 331\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2023-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Journal of Communication\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1080/01292986.2023.2194886\",\"RegionNum\":2,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMMUNICATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Communication","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1080/01292986.2023.2194886","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMMUNICATION","Score":null,"Total":0}
Examining public perception and cognitive biases in the presumed influence of deepfakes threat: empirical evidence of third person perception from three studies
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.
期刊介绍:
Launched in 1990, Asian Journal of Communication (AJC) is a refereed international publication that provides a venue for high-quality communication scholarship with an Asian focus and perspectives from the region. We aim to highlight research on the systems and processes of communication in the Asia-Pacific region and among Asian communities around the world to a wide international audience. It publishes articles that report empirical studies, develop communication theory, and enhance research methodology. AJC is accepted by and listed in the Social Science Citation Index (SSCI) published by Clarivate Analytics. The journal is housed editorially at the Wee Kim Wee School of Communication and Information at Nanyang Technological University in Singapore, jointly with the Asian Media Information and Communication Centre (AMIC).