
Public Opinion Dynamics and Public Cognition Evolution of Generative Artificial Intelligence Technology——A Study on Weibo Public Opinion Based on ChatGPT
Yin Zhiling, Shi Xiaoxue, Huang Xiao, Lu Xinyuan
Knowledge Management Forum ›› 2025, Vol. 10 ›› Issue (4) : 335-347.
Public Opinion Dynamics and Public Cognition Evolution of Generative Artificial Intelligence Technology——A Study on Weibo Public Opinion Based on ChatGPT
[Purpose/Significance] Focusing on the public opinion dynamics of generative artificial intelligence, especially ChatGPT, we aim to explore the background and significance of this technology and its social impact, analyze the public acceptance and public opinion evolution process, and provide theoretical support for the application of related technologies and social governance. [Method/Process] 221 564 microblog data related to generative AI between January 2023 and September 2024 were analyzed. By using the BERTopic model to extract the core themes and combining with keyword co-occurrence network analysis, we tracked the discussion hotspots and the evolution of public opinion in different time periods. [Result/Conclusion] This study identified eight major themes, including technology industry, education and robotics, and health care, and revealed the evolutionary path of public discussion: the initial phase focused on technological innovation and potential, the mid-term explored scenario applications such as education, health care, and finance, and the later stage turned to data privacy, security, and social ethics. Keyword analysis shows that terms such as "artificial intelligence" and "technology" run through the entire cycle, while high-frequency words such as "privacy" and "security" in the later period reflect the public's concern about the potential risks of technology. This study provides an in-depth understanding of the social effects of generative artificial intelligence technology and theoretical support for technology optimization and policy governance.
generative artificial intelligence / ChatGPT / public opinion analysis / BERTopic / topic analysis
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殷芝玲:数据收集与数据分析,撰写与修改论文;
石晓雪:数据收集,撰写论文;
黄晓:确定研究思路,修改论文与定稿;
卢新元:提供研究思路,修改论文。
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