Predicting Deepfake Enjoyment: A Machine Learning Perspective
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61281-7_28
Reference78 articles.
1. Ahmed, S.: Fooled by the fakes: cognitive differences in perceived claim accuracy and sharing intention of non-political deepfakes. Pers. Individ. Differ. 182, 111074 (2021). https://doi.org/10.1016/j.paid.2021.111074. https://linkinghub.elsevier.com/retrieve/pii/S0191886921004517
2. Ahmed, S.: Who inadvertently shares deepfakes? Analyzing the role of political interest, cognitive ability, and social network size. Telematics Inform. 57, 101508 (2021). https://doi.org/10.1016/j.tele.2020.101508. https://linkinghub.elsevier.com/retrieve/pii/S0736585320301672
3. Ahmed, S.: Disinformation sharing thrives with fear of missing out among low cognitive news users: a cross-national examination of intentional sharing of Deep Fakes. J. Broadcast. Electron. Media 66(1), 89–109 (2022)
4. Ahmed, S.: Navigating the maze: Deepfakes, cognitive ability, and social media news skepticism. New Media Soc. 25(5), 1108–1129 (2023). https://doi.org/10.1177/14614448211019198. http://journals.sagepub.com/doi/10.1177/14614448211019198
5. Ahmed, S., Tan, H.W.: Personality and perspicacity: role of personality traits and cognitive ability in political misinformation discernment and sharing behavior. Pers. Individ. Differ. 196, 111747 (2022)
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