Understanding the role of fear of missing out and deficient self-regulation in sharing of deepfakes on social media: Evidence from eight countries

Frontiers in Psychology

Psychology

Sheryl Wei Ting Ng¹  Adeline Wei Ting Bee²  Saifuddin Ahmed² 

[1] Department of Communications and New Media, National University of Singapore, Singapore, Singapore;Wee Kim Wee School for Communication and Information, Nanyang Technological University, Singapore, Singapore;

关键词: deepfakes;    disinformation;    FOMO;    self-regulation;    cognitive ability;    sharing;    self control;    Asia;   

DOI  :  10.3389/fpsyg.2023.1127507

 received in 2022-12-19, accepted in 2023-02-02,  发布年份 2023

来源: Frontiers

【 摘 要 】

Deepfakes are a troubling form of disinformation that has been drawing increasing attention. Yet, there remains a lack of psychological explanations for deepfake sharing behavior and an absence of research knowledge in non-Western contexts where public knowledge of deepfakes is limited. We conduct a cross-national survey study in eight countries to examine the role of fear of missing out (FOMO), deficient self-regulation (DSR), and cognitive ability in deepfake sharing behavior. Results are drawn from a comparative survey in seven South Asian contexts (China, Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam) and compare these findings to the United States, where discussions about deepfakes have been most relevant. Overall, the results suggest that those who perceive the deepfakes to be accurate are more likely to share them on social media. Furthermore, in all countries, sharing is also driven by the social-psychological trait – FOMO. DSR of social media use was also found to be a critical factor in explaining deepfake sharing. It is also observed that individuals with low cognitive ability are more likely to share deepfakes. However, we also find that the effects of DSR on social media and FOMO are not contingent upon users’ cognitive ability. The results of this study contribute to strategies to limit deepfakes propagation on social media.

【 授权许可】

Unknown   
Copyright © 2023 Ahmed, Ng and Bee.