Beyond Illusions: Contribution of Artificial Intelligence in Unveiling and Mitigating Deep Fake Impact on Social Networks
Keywords:
Deepfake, AI-based mitigation, disinformation, privacy, detection algorithms, multimodal, multidisciplinary cooperation, media literacyAbstract
This article investigates the effects of deepfake technology on social networks and evaluates AI-based mitigating strategies. Deepfakes, or synthetic media created by AI, present concerns such as misrepresentation and privacy breaches. Deepfake detection, Face Manipulation Detection Networks (FMDNs) and multimodal analysis are the important AI techniques. Real-world implementations demonstrate less deepfake diffusion. Future research will focus on model interpretability, multidisciplinary cooperation, and media literacy in order to effectively mitigate deepfakes. Ethical issues are critical in addressing emerging challenges.
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