The increasingly rapid development of technology causes changes in media usage patterns. Media convergence is something that is inevitable, speed and content differentiation are one of the reasons for media convergence. The emergence of ChatGPT provides its own assessment for social media users. The discussion about Chat GPT is one of the themes discussed on social media, namely Twitter. The aim of this research is to assess the social media content of Twitter #ChatGPT covered by the news. This research uses the concept of User Generated Content (UGC), as part of media convergence theory. The UGC concept is seen in the form of content created by ChatGPT users about various information, in text form. This research uses a qualitative type with the Social Network Analysis (SNA) method as a useful tool for mapping the impact of information received by the public as ChatGPT users in Indonesia. The research results show that through the SNA method, descriptions of the relationship structure developed by Twitter users in Indonesia regarding CHatGPT can be seen. Users started discussing the emergence of ChatGPT as a result of feedback. The fame of the players involved is largely shaped by these dialogues in the form of text that ChatGPT users exchange.