Analysis Effect of Video, Voice and Image Abuse Through AI Generator in Indonesia

Many people agree that technology can help us in creating content, one of which is AIGC. AIGC helps users in creating content more efficiently and attractively. If we put aside the positive side, AIGC can also cause negative things, such as manipulation of images, videos, or audio to commit crimes. This study aims to analyze the risks posed by AIGC, such as deepfake with the aim of committing crimes. There are 7 variables that will be analyzed in this study, including Perceived Usefulness, Emotional Risk, Information Quality, User Trust, Social Influence, Behavior Intention, and User Behavior which create 6 hypotheses. This study analyzes how perceived usefulness, emotional risk and information quality factors can affect user trust, then how social influence factors affect behavioral intention, and how user trust factors can affect behavioral intention and user behavior. Researchers use a sampling method which means that respondents are only intended for demographic conditions that are wary of AIGC content and are in Indonesia. The data was collected by distributing questionnaires using e-forms and taken from May 8, 2025, to May 11, 2025. The results of this study were taken based on 475 respondents with the majority aged 12-27 years and dominated by female gender, and the results showed that the Perceived usefulness and information quality factors have a significant influence on user trust. In addition, the Social Influence factor also has a significant influence on user behavioral intention, and the user trust factor also has a significant influence on user behavioral intention and user trust to access AIGC content. Meanwhile, only the emotional risk factor does not have a significant influence on user trust.