摘要
[目的/意义]旨在探究公众对人工智能的认知与情感态度以及其传导机制,对丰富人工智能相关领域的研究具有重要意义。[方法/过程]以Chat GPT为例,采用文本挖掘的方法搜集公众参与此话题讨论的微博评论数据并进行情感分析,在此基础上利用元胞自动机模型模拟并探究公众对人工智能认知与情感的传递机制。[结果/结论]研究结论表明:公众在微博话题对Chat GPT的讨论整体呈积极正向的态度,公众看待人工智能的认知与情感态度和公众的初始情感及周围邻居的影响力权重密切相关。
[Purpose/Significance]This paper aims to explore the public's perceptions and emotional attitude towards artificial intelligence and its transmission mechanism,which is of great significance to enrich research in artificial intelligence-related fields.[Method/Process]Taking ChatGPT as an example,text mining methods were used to collect Weibo comment data of public participation in this topic discussion and sentiment analysis was performed.On this basis,the cellular automaton model was used to simulate and explore the transmission mechanism of public's cognition and emotion towards artificial intelligence.[Result/Conclusion]The research conclusion show that:First,the public’s discussion of ChatGPT on Weibo topic generally has a positive attitude.Second,the public’s cognition and emotional attitude towards artificial intelligence are closely related to the their initial emotions and the influence weight of surrounding neighbors.
作者
王益君
董韵美
Wang Yijun;Dong Yunmei(School of Public Administration,Xi’an University of Architecture and Technology,Xi’an 710055)
出处
《知识管理论坛》
2024年第1期16-29,共14页
Knowledge Management Forum
基金
教育部人文社会科学规划项目资助项目“重大公共政策调整的网络舆情风险实时监测预警方法研究”(项目编号:23YJAZH147)研究成果之一
关键词
ChatGPT
人工智能
认知与情感态度
元胞自动机
仿真
ChatGPT
artificial intelligence
perceptions and emotional attitude
cellular automata
simulation