Impact of Deepfake Technology on Social Media: Detection, Misinformation and Societal Implications

The rise of Artificial Intelligence (AI) has opened up new possibilities, but it also brings significant challenges.

Deepfake technology, which creates realistic fake videos, raises concerns about privacy, identity, and consent. This paper

explores the impacts of deepfakes and suggests solutions to mitigate their negative effects.

Deepfake technology, which allows the manipulation and fabrication of audio, video, and images, has gained significant

attention due to its potential to deceive and manipulate. As deepfakes proliferate on social media platforms, understanding their

impact becomes crucial. This research investigates the detection, misinformation, and societal implications of deepfake

technology on social media. Through a comprehensive literature review, the study examines the development and capabilities of

deepfakes, existing detection techniques, and challenges in identifying them. The role of deepfakes in spreading misinformation

and disinformation is explored, highlighting their potential consequences on public trust and social cohesion. The societal

implications and ethical considerations surrounding deepfakes are examined, along with legal and policy responses. Mitigation

strategies, including technological advancements and platform policies, are discussed. By shedding light on these critical aspects,

this research aims to contribute to a better understanding of the impact of deepfake technology on social media and to inform

future efforts in detection, prevention, and policy development. Keywords: Deepfake, Social media, Artificial intelligence,

Generative adversarial networks, Deep neural networks.