Unveiling the Deepfake Dilemma: Framework, Classification, and Future Trajectories

Abstract

Deepfake is a type of artificial intelligence technology that makes use of deep learning to generate fake multimedia. A large number of images, audios, and videos have surfaced, particularly on social media, in which deepfake technology is used. This has raised concerns because it can be misleading or fraudulent media, can spread misinformation and propaganda, or potentially cause harm to individuals’ reputations. This article presents a comprehensive review of deepfake technology, focusing on its underlying principles and methodologies. The analysis highlights both the positive as well as negative implications of deepfake technology, shedding light on its potential benefits in filmmaking, digital art, and content creation, alongside its ethical and societal implications, including concerns about misinformation, privacy violations, and cyberthreats.