Understanding the role of fear of missing out and deficient self-regulation in sharing of deepfakes on social media: evidence from eight countries
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...
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sg-ntu-dr.10356-1688522023-06-25T15:33:08Z Understanding the role of fear of missing out and deficient self-regulation in sharing of deepfakes on social media: evidence from eight countries Ahmed, Saifuddin Ng, Sheryl Wei Ting Bee, Adeline Wei Ting Wee Kim Wee School of Communication and Information Social sciences::Communication Deepfakes Disinformation 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. Nanyang Technological University Published version This work was supported by Nanyang Technological University grant number 21093. 2023-06-20T06:56:19Z 2023-06-20T06:56:19Z 2023 Journal Article Ahmed, S., Ng, S. W. T. & Bee, A. W. T. (2023). 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, 14, 1127507-. https://dx.doi.org/10.3389/fpsyg.2023.1127507 1664-1078 https://hdl.handle.net/10356/168852 10.3389/fpsyg.2023.1127507 36959999 2-s2.0-85150512030 14 1127507 en 21093 Frontiers in Psychology © 2023 Ahmed, Ng and Bee. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. application/pdf |
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Social sciences::Communication Deepfakes Disinformation Ahmed, Saifuddin Ng, Sheryl Wei Ting Bee, Adeline Wei Ting Understanding the role of fear of missing out and deficient self-regulation in sharing of deepfakes on social media: evidence from eight countries |
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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. |
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Wee Kim Wee School of Communication and Information |
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Wee Kim Wee School of Communication and Information Ahmed, Saifuddin Ng, Sheryl Wei Ting Bee, Adeline Wei Ting |
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Article |
author |
Ahmed, Saifuddin Ng, Sheryl Wei Ting Bee, Adeline Wei Ting |
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Ahmed, Saifuddin |
title |
Understanding the role of fear of missing out and deficient self-regulation in sharing of deepfakes on social media: evidence from eight countries |
title_short |
Understanding the role of fear of missing out and deficient self-regulation in sharing of deepfakes on social media: evidence from eight countries |
title_full |
Understanding the role of fear of missing out and deficient self-regulation in sharing of deepfakes on social media: evidence from eight countries |
title_fullStr |
Understanding the role of fear of missing out and deficient self-regulation in sharing of deepfakes on social media: evidence from eight countries |
title_full_unstemmed |
Understanding the role of fear of missing out and deficient self-regulation in sharing of deepfakes on social media: evidence from eight countries |
title_sort |
understanding the role of fear of missing out and deficient self-regulation in sharing of deepfakes on social media: evidence from eight countries |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/168852 |
_version_ |
1772826901933457408 |