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The evolution of deepfake development technology has increased the development of highly realistic digital media content. Nowadays, this technology is being used to manipulate photos and videos of influential personalities such as celebrities, politicians, or businessmen to either harm their reputation or spread false information. Although deepfake AI has both positive and negative application, this technology is mostly used with malicious intent such as to spread misinformation, engage in digital harassment, and undermine societal trust. This review paper provides a comprehensive examination of the available deepfake generation and detection methods, exploring both the opportunities and challenges presented by this emerging innovation. Detection methodologies based on deep learning and conventional methods as well the threats this emerging technology poses on the society are also surveyed. Overall, this review gives various insights of both generation and detection of deepfakes, combining its applications, approaches and future work.
Sharma et al. (Thu,) studied this question.