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从微博热门评论看人工智能:ChatGPT的社会接受度与潜在风险

Viewing Artificial Intelligence from Popular Weibo Comments:Social Acceptance and Potential Risks of ChatGPT
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摘要 本研究旨在探讨微博用户对ChatGPT的看法及对人工智能潜在风险的认知。通过文本分析,使用ROST CM6软件深入剖析微博上的热门评论,同时使用Citespace对相关人工智能文献进行文献计量分析。研究首先梳理了人工智能的研究热点和发展脉络,其次识别高频词汇,通过语义网络分析构建概念关系,最后进行情感分析评估用户情感。结果显示,尽管用户认可ChatGPT的积极作用,但对其风险和未来也持担忧态度。高频词汇分析显示用户广泛关注ChatGPT对人类生活的影响,情感分析则揭示出63.50%的用户表达了消极情绪,主要担忧技术失业和人工智能自我意识的威胁。研究结论强调,随着人工智能技术的普及,公众需增强忧患意识,引导技术向善发展,以发挥其对社会的建设性作用。本研究为理解公众对ChatGPT的态度和人工智能技术的发展提供了重要参考和建议。 This study aims to explore the views of Weibo users on ChatGPT and their perception of potential risks associated with artificial intelligence.Through text analysis,the paper uses ROST CM6 soft-ware to deeply analyze popular comments on Weibo,and uses Citespace to conduct bibliometric analysis on relevant artificial intelligence literature.The study first sorted out the research hotspots and development trends of artificial intelligence,then identified high-frequency vocabulary,con-structed conceptual relationships through semantic network analysis,and finally conducted senti-ment analysis to evaluate user emotions.The results show that although users acknowledge the positive effects of ChatGPT,they also have concerns about its risks and future.High frequency vo-cabulary analysis shows that users are widely concerned about the impact of ChatGPT on human life,while sentiment analysis reveals that 63.50%of users express negative emotions,mainly concerned about technological unemployment and the threat of artificial intelligence self-awareness.The re-search conclusion emphasizes that with the popularization of artificial intelligence technology,the public needs to enhance their awareness of potential risks,guide technology towards positive de-velopment,and play a constructive role in society.This study provides important references and suggestions for understanding the public's attitudes towards ChatGPT and the development of ar-tificial intelligence technology.
作者 朱金鑫 Jinxin Zhu(College of Humanities and Social Sciences,Nanjing Forestry University,Nanjing Jiangsu)
出处 《运筹与模糊学》 2024年第4期757-765,共9页 Operations Research and Fuzziology
关键词 ChatGPT 人工智能 文本分析 微博 文献计量 ChatGPT Artificial Intelligence Text Analysis Weibo Bibliometrics
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