BRIEF REPORT Prediction of self-efficacy in recognizing deepfakes based on personality traits [version 2; peer review: 1 approved, 1 approved with reservations] Juneman Abraham 1 , Heru Alamsyah Putra 1 , Tommy Prayoga 2 , Harco Leslie Hendric Spits Warnars 3 , Rudi Hartono Manurung 4 , Togiaratua Nainggolan 5 1 Psychology Department, Faculty of Humanities, Bina Nusantara University, Jakarta, 11480, Indonesia 2 Content Collision, Jakarta, 11470, Indonesia 3 Information System Concentration, Doctor of Computer Science Department, Bina Nusantara University, Jakarta, 11530, Indonesia 4 Japanese Department, Faculty of Humanities, Bina Nusantara University, Jakarta, 11480, Indonesia 5 Research Center for Social Welfare, Village, and Connectivity, National Research and Innovation Agency, Jakarta, 10340, Indonesia First published: 19 Dec 2022, 11:1529 https://doi.org/10.12688/f1000research.128915.1 Latest published: 10 Jul 2023, 11:1529 https://doi.org/10.12688/f1000research.128915.2 v2 Abstract Background: While deepfake technology is still relatively new, concerns are increasing as they are getting harder to spot. The first question we need to ask is how good humans are at recognizing deepfakes - realistic-looking videos or images that show people doing or saying things that they never actually did or said generated by an artificial intelligence-based technology. Research has shown that an individual’s self-reported efficacy correlates with their ability to detect deepfakes. Previous studies suggest that one of the most fundamental predictors of self-efficacy are personality traits. In this study, we ask the question: how can people’s personality traits influence their efficacy in recognizing deepfakes? Methods: Predictive correlational design with a multiple linear regression data analysis technique was used in this study. The participants of this study were 200 Indonesian young adults. Results: The results showed that only traits of Honesty-humility and Agreeableness were able to predict the efficacy, in the negative and positive directions, respectively. Meanwhile, traits of Emotionality, Extraversion, Conscientiousness, and Openness cannot predict it. Conclusion: Self-efficacy in spotting deepfakes can be predicted by certain personality traits. Keywords deepfake detection, deepfake recognition, self-efficacy, personality, traits Open Peer Review Approval Status 1 2 version 2 (revision) 10 Jul 2023 view view version 1 19 Dec 2022 view view Sandra Grinschgl , University of Graz, Graz, Austria 1. Dilrukshi Gamage , Tokyo Institute of Technology, Tokyo, Japan 2. Any reports and responses or comments on the article can be found at the end of the article. Page 1 of 16 F1000Research 2023, 11:1529 Last updated: 14 SEP 2023