DEEP FAKE: AN EMERGING THREAT IN THE DIGITAL MEDIA MANIPULATION

Abstract

The phrase deep fakes which refer to computer generated synthetic media, has garnered a lot of interests because of its ability to influence digital media material. The research abstract delves into the growing danger of deepfakes in the realm of manipulating digital media. Artificial intelligence and machine learning techniques are used in deep fakes or fake audio, video, or image content that presents people in ways that seem convincing but essentially untrue. These people are shown making words or engaging in acts that they never did. Concerns are raised by deep fakes abstraction of reality in several fields, including politics, journalism, entertainment, and cybersecurity. Additionally, it investigates the social ramifications of deep fakes, including how they could influence public opinion harm people’s reputation and spread false information. The research also looks at ethical consideration, privacy, and the right to manage one’s own likeness, among other ethical issues related to the usage of deepfakes. The goal of this research is to clarify how deep fakes have become a powerful instrument for manipulating digital media, advocating for preventing actions, and emphasizing the significance of media literacy in a time when discerning fact from fiction grows more difficult.