Abstract:

This paper aims to provide a comprehensive understanding of generative models, mainly focusing on deepfake technology and its implications, especially within the context of social networks and politics. By clarifying the concept of generative models and examining the specific applications of deepfake technology, the paper aims to shed light on the potential risks, challenges, and ethical considerations associated with creating and disseminating synthetic content. Additionally, it seeks to explore how deepfake technology on social networks can impact public perception, political discourse, and democratic processes. The paper contributes to discussions on regulatory, ethical, and technological strategies for addressing challenges posed by deepfake technology in the digital age.