Social Network Analysis #ChatGPT on Social Media

Ganjar Wibowo, I. Gunawan, Manik Sunuantari
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Abstract

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.
社交媒体上的社交网络分析 #ChatGPT
技术的飞速发展导致媒体使用模式的改变。媒体融合是不可避免的,速度和内容差异化是媒体融合的原因之一。聊天 GPT 的出现为社交媒体用户提供了自己的评价。关于 Chat GPT 的讨论是社交媒体,即 Twitter 上讨论的主题之一。本研究旨在评估新闻报道的 Twitter #ChatGPT 的社交媒体内容。作为媒体融合理论的一部分,本研究使用了用户生成内容(UGC)的概念。UGC 概念是指 ChatGPT 用户以文本形式创建的有关各种信息的内容。本研究采用社会网络分析(SNA)方法进行定性分析,将其作为一种有用的工具,用于绘制印尼公众作为 ChatGPT 用户所接收信息的影响图。研究结果表明,通过 SNA 方法,可以看到印尼 Twitter 用户就 CHatGPT 所建立的关系结构的描述。用户开始讨论 ChatGPT 的出现是反馈的结果。ChatGPT 用户交流文本形式的对话在很大程度上塑造了相关参与者的名声。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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