摘要
[目的/意义]政府新闻作为政策话语的重要载体,不仅传达政府立场、政策取向,还折射出政府在特定技术领域的立场态度与行为意图。以中美两国政府新闻为研究对象,旨在揭示两国在生成式人工智能领域情感态度、话语特征及政策表达的异同,为技术治理与国际合作提供参考。[方法/过程]以批判性话语分析为理论框架,结合文本挖掘技术,从文本、话语实践、社会实践三个层面入手,对中美政府新闻中关于生成式人工智能的报道进行多维度分析。[结果/结论]文本向度层面,中国政府新闻在文本层面关注技术进展和科技政策,情感总体积极;美国政府新闻则集中于风险管理和国际合作,情感波动较大。话语实践层面,中国政府新闻通过引用政策文件增强权威性,美国政府新闻则通过引用国际组织强调全球合作,两者在讨论重点和策略上有所不同。社会实践层面,中国通过政府主导的政策和战略规划推动人工智能的发展,而美国则通过政府、企业和学术界的多方协作,推动技术创新和市场发展。
[Purpose/Significance]Government news,as a key window of policy discourse,not only con-veys the government’s stance and policy orientation but also reflects its emotional attitude and behavioral in-tentions in specific technological fields.This study takes government news from China and the United States as research objects,aiming to reveal the differences and similarities in emotional attitudes,discourse characteristics,and policy expressions between the two countries in the field of generative artificial intelligence,providing a reference for technology governance and international cooperation.[Method/Process]Based on the theoretical framework of critical discourse analysis,combined with text mining techniques,this study conducted a multidi-mensional analysis of government news on generative artificial intelligence from China and the United States,focusing on three dimensions:text,discursive practice,and social practice.[Result/Conclusion]In terms of the text dimension,Chinese government news focuses on technological advancements and science and technology policies,with an overall positive sentiment,whereas U.S.government news emphasizes risk management and international cooperation,displaying greater emotional fluctuations.In terms of discourse practice,Chinese gov-ernment news enhances authority by referencing policy documents,while U.S.government news highlights glob-al collaboration through references to international organizations.In terms of social practice,China advances AI development through government-led policies and strategic planning,whereas the U.S.promotes technological innovation and market growth through a collaborative approach involving the government,enterprises,and aca-demia.
作者
王芳
刘清民
Wang Fang;Liu Qingmin(Department of Information Resource Management,Business School,Nankai University,Tianjin 300071;The Center for Network Society Governance,Nankai University,Tianjin 300071)
出处
《图书情报工作》
北大核心
2025年第16期48-65,共18页
Library and Information Service
基金
国家社会科学基金重大项目“基于数据共享与知识复用的数字政府智能化治理研究”(项目编号20ZDA039)研究成果之一。
关键词
生成式人工智能
批判性话语分析
情感
态度
文本挖掘
generative artificial intelligence
critical discourse analysis
emotion
attitude
text mining
作者简介
王芳,教授,博士,博士生导师,E-mail:wangfangnk@nankai.edu.cn;刘清民,博士研究生。
