Deepfakes and Society: What Lies Ahead?
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-1524-6_1
Reference126 articles.
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2. Saifuddin Ahmed, Fooled by the fakes: cognitive differences in perceived claim accuracy and sharing intention of non-political deepfakes. Pers. Individ. Differ. 182, 111074 (2021)
3. S. Ahmed, Navigating the maze: Deepfakes, cognitive ability, and social media news skepticism, in New Media Society (2021), p. 14614448211019198
4. S. Ahmed, Who inadvertently shares deepfakes? analyzing the role of political interest, cognitive ability, and social network size. Telemat. Inform. 57, 101508 (2021)
5. R. Amelin, S. Channov, On the legal issues of face processing technologies, in International Conference on Digital Transformation and Global Society (Springer, Berlin, 2020), pp. 223–236
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1. A place for (socio)linguistics in audio deepfake detection and discernment: Opportunities for convergence and interdisciplinary collaboration;Language and Linguistics Compass;2024-07-09
2. Individual Responsibility Around Deepfakes: It's No Laughing Matter;Cyberpsychology, Behavior, and Social Networking;2024-02-01
3. Warning: Humans cannot reliably detect speech deepfakes;PLOS ONE;2023-08-02
4. A Systematic Review on Deepfake Technology;Proceedings of Data Analytics and Management;2023
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