生成式人工智能技术的舆论动态与公众认知演化——基于ChatGPT的微博舆情研究

殷芝玲; 石晓雪; 黄晓; 卢新元

doi:10.13266/j.issn.2095-5472.2025.022

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知识管理论坛 ›› 2025, Vol. 10 ›› Issue (4) : 335-347. DOI: 10.13266/j.issn.2095-5472.2025.022 CSTR: 32306.14.CN11-6036.2025.022

研究论文

生成式人工智能技术的舆论动态与公众认知演化——基于ChatGPT的微博舆情研究

殷芝玲 ¹ ,
石晓雪 ¹ ,
黄晓 ¹^,² ,
卢新元 ¹^,²

作者信息 +

Public Opinion Dynamics and Public Cognition Evolution of Generative Artificial Intelligence Technology——A Study on Weibo Public Opinion Based on ChatGPT

Yin Zhiling ¹ ,
Shi Xiaoxue ¹ ,
Huang Xiao ¹^,² ,
Lu Xinyuan ¹^,²

Author information +

文章历史 +

摘要

【目的/意义】 聚焦于生成式人工智能，特别是ChatGPT的公众舆情动态，旨在探讨这一技术的背景、意义及其社会影响，分析公众对其接受度和舆论演化过程，为相关技术应用和社会治理提供理论支持。 【方法/过程】 分析2023年1月至2024年9月间的221 564条与生成式人工智能相关的微博数据。通过BERTopic模型提取核心主题，并结合关键词共现网络分析不同时期的讨论热点和舆情演化。 【结果/结论】 识别科技产业、教育与机器人、健康医疗等八大主题，并揭示公众讨论的演化路径：初期关注技术创新与潜力，中期探讨场景应用（如教育、医疗与金融），后期则转向数据隐私、安全与社会伦理等问题。关键词分析表明，“人工智能”“技术”等术语贯穿全周期，而“隐私”“安全”等后期高频词反映公众对技术潜在风险的关注。研究结果可以为生成式人工智能技术的社会效应提供深入理解，并为技术优化与政策治理提供理论支持。

Abstract

[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.

导出引用

殷芝玲 , 石晓雪 , 黄晓 , 等. 生成式人工智能技术的舆论动态与公众认知演化——基于ChatGPT的微博舆情研究[J]. 知识管理论坛. 2025, 10(4): 335-347 https://doi.org/10.13266/j.issn.2095-5472.2025.022

Yin Zhiling , Shi Xiaoxue , Huang Xiao , et al. Public Opinion Dynamics and Public Cognition Evolution of Generative Artificial Intelligence Technology——A Study on Weibo Public Opinion Based on ChatGPT[J]. Knowledge Management Forum. 2025, 10(4): 335-347 https://doi.org/10.13266/j.issn.2095-5472.2025.022

中图分类号： TP391

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