[1] 李维思, 谭力铭, 章国亮, 等.基于多源信息融合的产业链关键核心技术主题识别研究——以人工智能领域为例[J]. 信息资源管理学报, 2022, 12(1):116-126.(LI W S, TAN L M, ZHANG G L, et al. Research on topic recognition of key core technology in industrial china based on multi-source information fusion:taking ai as an example[J]. Journal of information resources management, 2022, 12(1):116-126.)
[2] 汤珊红, 李晓松, 赵柯然, 等.生成式人工智能赋能国防科技情报[J]. 情报理论与实践, 2023, 46(11):81-85, 99.(TANG S H, LI X S, ZHAO K R, et al. Generative ai empowers national defense S & T information work[J]. Information studies:theory & application, 2023, 46(11):81-85, 99.)
[3] 陈定权, 李帅, 董昊南.倒着走向生成式人工智能的未来[J]. 图书馆建设, 2023(4):12-14, 18.(CHEN D Q, LI S, DONG H N. Marching backwards into the future of aigc[J]. Library development, 2023(4):12-14, 18.)
[4] 田丽, 陈馨婕.创作者视角下的算法生成技术伦理问题[J]. 图书情报知识, 2023, 40(1):56-65.(TIAN L, CHEN X J. Ethical issues of algorithm-generated technology from the creators’perspective[J]. Documentation, information & knowledge, 2023, 40(1):56-65.)
[5] 王芳, 朱学坤, 刘清民, 等.生成式人工智能研究进展[J]. 图书与情报, 2024, 40(4):45-64.(WANG F, ZHU X K, LIU Q M, et al. Progress in generative artificial intelligence research[J]. Library and information, 2024, 40(4):45-64.)
[6] 班尼特.新闻:政治的幻象[M]. 杨晓红, 王家全, 译.北京:当代中国出版社, 2005.(BENNETT L. NEWS:The politics of illusion[M]. YANG X H, WANG J Q, trans. Beijing:Contemporary China Publishing House, 2005.)
[7] 王曰芬, 王柳虹, 巴志超, 等.政府科技新闻中科技成果转化的主题识别与时空扩散分析[J]. 情报学报, 2023, 42(8):939-951.(WANG Y F, WANG L H, BA Z C, et al. Spatiotemporal diffusion analysis of achievement transformation topics in government science and technology news[J]. Journal of the China Society for Scientific and Technical Information, 2023, 42(8):939-951.)
[8] 李桂华, 黄琳.政府路径的公共图书馆社会认知建构——对省级政府新闻办微博的话语分析[J]. 图书馆论坛, 2023, 43(2):39-48.(LI G H, HUANG L. Government path for developing social cognition about public library:a discourse analysis on microblog posts of provincial government information offices[J]. Library tribune, 2023, 43(2):39-48.)
[9] 赵雅莹, 郭继荣, 车向前.评价理论视角下英国对“一带一路”态度研究[J]. 情报杂志, 2016, 35(10):37-41.(ZHAO Y Y, GUO J R, CHE X Q. An analysis of britain’s attitude towards the“one belt and one road initiative” from the perspective of appraisal theory[J]. Journal of intelligence, 2016, 35(10):37-41.)
[10] DIJK T A. Discourse Analysis:Its development and application to the structure of news[J]. Journal of communication, 1983, 33(2):20-43.
[11] 王平.图书情报学教育使命的意义构建与认知差异——基于话语分析的中美比较研究[J]. 图书情报工作, 2010, 54(5):51-54.(WANG P. The meaning construction and cognitive differences of missions of LIS education:a comparative study based on discourse analysis[J]. Library and information service, 2010, 54(5):51-54.)
[12] WANG W, LIU W. Critical discourse analysis of news reports on China’s bullet-train crash[J]. Studies in literature and language, 2015, 10(2):1-8.
[13] ASH E, GALLETTA S. How cable news reshaped local government[J]. American economic journal:applied economics, 2023, 15(4):292-320.
[14] LIM W M, GUNASEKARAA, PALLANT J L, et al. Generative ai and the future of education:ragnarök or reformation? A paradoxical perspective from management educators[J]. The international journal of management education, 2023, 21(2):100790.
[15] 李旭光, 胡奕, 王曼, 等.人工智能生成内容研究综述:应用、风险与治理[J]. 图书情报工作, 2024, 68(17):136-149.(LI X G, HU Y, WANG M, et al. A review of ai-generated content research:applications, risks, and governance[J]. Library and information service, 2024, 68(17):136-149.)
[16] 刘琼, 刘桂锋, 卢章平, 等.谋求与突破:ChatGPT对信息资源管理学科的影响与启示[J]. 信息资源管理学报, 2023, 13(5):73-78.(LIU Q, LIU G F, LU Z P, et al. Seeking and breaking through:ChatGPT Illuminating the way ahead for the discipline of information resource management[J]. Journal of information resources management, 2023, 13(5):73-78.)
[17] 财联社. DeepSeek App上线一个月下载量破1亿[EB/OL]. [2025-02-22]. https://baijiahao.baidu.com/s?id=1824645601225304041& wfr=spider & for=pc(Cailianpress.DeepSeek App has been downloaded over 100 million times in one month since its launch[EB/OL]. [2025-02-22]. https://baijiahao.baidu.com/s?id=1824645601225304041& wfr=spider & for=pc)
[18] 王冲, 张雅君, 王娟.社会大众如何看待生成式人工智能在教育中的应用?——对B站ChatGPT话题弹幕文本的舆情主题与情感分析[J]. 图书馆论坛, 2024, 44(10):61-71.(WANG C, ZHANG Y J, WANG J. Public perspective of generative ai in education:opinion topic and sentiment analysis of Bilibili’s bullet comments on ChatGPT[J]. Library tribune, 2024, 44(10):61-71.)
[19] 张海, 段荟, 王东波.信息资源管理领域生成式人工智能:研究现状、研究主题及研究展望[J]. 情报杂志, 2024, 43(10):150-156.(ZHANG H, DUAN H, WANG D B.Artificial intelligence generative content in information resource management:research status, research topics and research prospect[J]. Journal of intelligence, 2024, 43(10):150-156.)
[20] 徐伟, 何野.生成式人工智能数据安全风险的治理体系及优化路径——基于38份政策文本的扎根分析[J]. 电子政务, 2024(10):42-58.(XU W, HE Y. The governance system and optimization path of data security risks of generative artificial intelligence:a grounded analysis based on 38policy documents[J]. E-government, 2024(10):42-58.)
[21] 贾诗威, 闫慧.社交媒体用户算法偏见感知的批判性话语分析[J]. 现代情报, 2023, 43(6):14-23.(JIA S W, YAN H. Critical discourse analysis of algorithmic bias awareness of social media users[J]. Journal of modern information, 2023, 43(6):14-23.)
[22] GASPER D, APTHORPE R. Introduction:discourse analysis and policy discourse[J]. The european journal of development research, 1996, 8(1):1-15.
[23] HARRIS Z S. Discourse analysis[J]. Language, 1952, 28(1):1-30.
[24] 周宪.福柯话语理论批判[J]. 文艺理论研究, 2013, 33(1):121-129.(ZHOU X. Critique of foucault’s theory of discourse[J]. Theoretical studies in literature and art, 2013, 33(1):121-129.)
[25] 辛斌, 高小丽.批评话语分析:目标、方法与动态[J]. 外语与外语教学, 2013(4):1-5, 16.(XIN B, GAO X L. Critical discourse analysis:goals, methods and dynamics[J]. Foreign languages and their teaching, 2013(4):1-5, 16.)
[26] FAIRCLOUGH N. Language and power[M]. Routledge:Taylor & Francis Asia Pacific, 2013.
[27] 罗博, 朱丘毅, 张晋朝.社会公平视阈下中美开放政府数据政策的批判性话语分析[J]. 图书情报知识, 2023, 40(1):98-111, 123.(LUO B, ZHU Q Y, ZHANG J C. A critical discourse analysis on open government data policies of China and the United States from the perspective of social justice[J]. Documentation, information & knowledge, 2023, 40(1):98-111, 123.)
[28] 李长志, 丁敬达. iSchool联盟院校发展定位研究:批判性话语分析视角[J]. 图书馆学研究, 2021(20):21-29.(LI C Z, DING J D. Research on the development positioning of iSchools:a critical discourse analysis perspective[J]. Research on library science, 2021(20):21-29.)
[29] 段鹏, 王一淳.国际传播视阈下的“一带一路”意义建构与在地化接受——基于伊通社“丝路观”(1996-2022)的批判性话语分析[J]. 现代传播(中国传媒大学学报), 2023, 45(3):61-67.(DUAN P, WANG Y C.“One belt and one road” meaning construction and localization acceptance in the perspective of international communication:a critical discourse analysis of the IRNA“views of the silk road”(1996-2022)[J]. Modern communication(Journal of Communication University of China), 2023, 45(3):61-67.)
[30] 李桔元, 李鸿雁.批评话语分析研究最新进展及相关问题再思考[J]. 外国语(上海外国语大学学报), 2014, 37(4):88-96.(LI J Y, LI H Y. Advances in critical discourse analysis and new reflections on problems in it[J]. Journal of foreign languages, 2014, 37(4):88-96.)
[31] TÖRNBERG A, TÖRNBERG P. Muslims in social media discourse:combining topic modeling and critical discourse analysis[J]. Discourse, context & media, 2016, 13:132-142.
[32] LEE C. How are‘immigrant workers’ represented in korean news reporting?-a text mining approach to critical discourse analysis[J]. Digital scholarship in the humanities, 2019, 34(1):82-99.
[33] 秦玥, 吴亚平, 王继民.中国政府网“一带一路”新闻话题挖掘分析[J]. 图书情报工作, 2019, 63(15):103-110.(QIN Y, WU Y P, WANG J M. An analysis of news topics mining based on LDA model:taking“the belt and road” related news as an example[J]. Library and information service, 2019, 63(15):103-110.)
[34] 刘清民, 王芳, 黄梅银.我国人工智能政策新词发现与演化研究——一个多特征融合的算法[J]. 现代情报, 2024, 44(6):18-32, 58.(LIU Q M, WANG F, HUANG M Y. Discovery and evolution of new words in Chinese artificial intelligence policies:a multi-feature fusion algorithm[J]. Journal of modern information, 2024, 44(6):18-32, 58.)
[35] 王芳, 朱宏智, 朱健刚.我国社会组织政策主题与态度演化动因研究[J]. 现代情报, 2022, 42(7):3-21.(WANG F, ZHU H Z, ZHU J G. Motivation of theme and attitude evolution of social organization policies in China[J]. Journal of modern information, 2022, 42(7):3-21.)
[36] 费尔克拉夫.话语与社会变迁[M]. 殷晓蓉, 译.北京:华夏出版社, 2003.(FAIRCLOUGH N. Discourse and social change[M]. YIN X R, trans. Beijing:Huaxia Publishing House, 2003.)
[37] 刘晓娟, 陈嘉勇, 刘世希.文本可视化在新闻事件演变中的应用[J]. 图书情报工作, 2010, 54(18):67-71.(LIU X J, CHEN J Y, LIU S X. Application of text visualization to event evolution of news story[J]. Library and information service, 2010, 54(18):67-71.)
[38] 王良, 李牧南.基于融合新闻影响力和图注意力网络聚类方法的颠覆性技术识别[J]. 图书情报工作, 2024, 68(15):27-43.(WANG L, LI M N. Disruptive technology identification based on news influence and enhanced graph attention network clustering method[J]. Library and information service, 2024, 68(15):27-43.)
[39] GROOTENDORST M. BERTopic:neural topic modeling with a class-based tf-idf procedure[J]. arXiv preprint arXiv:2203.05794, 2022.
[40] 张家惠, 丁敬达.基于BERTopic和LSTM模型的新兴主题预测研究[J]. 情报科学, 2025, 43(1):98-105, 126.(ZHANG J H, DING J D. Emerging topic prediction based on BERTopic and LSTM models[J]. Information science, 2025, 43(1):98-105, 126.)
[41] 刘洋, 柳卓心, 金昊, 等.基于BERTopic模型的用户层次化需求及动机分析——以抖音平台为例[J]. 情报杂志, 2023, 42(12):159-167.(LIU Y, LIU Z X JIN H. User hierarchical need and motivation analysis ased on BERTopic model:taking douyin platform as an example[J]. Journal of intelligence, 2023, 42(12):159-167.)
[42] YOUNG L, SOROKA S. Affective news:the automated coding of sentiment in political texts[J]. Political communication, 2012, 29(2):205-231.
[43] SOO-GUAN K C, NOURBAKHSH A, Na J C. Sentiment analysis of online news text:a case study of appraisal theory[J]. Online information review, 2012, 36(6):858-878.
[44] 张宁.公共危机事件中的政府新闻发言与议题管理[J]. 思想战线, 2007(5):85-88.(ZHANG N. The government news announcement and its topic management for handling public crisis events[J]. Thinking, 2007(5):85-88.)
[45] WANG S M, KU L W. ANTUSD:A large Chinese sentiment dictionary[C] //Proceedings of the tenth international conference on language resources and evaluation. Portoro:European Language Resources Association, 2016:2697-2702.
[46] 饶洋辉, 李青, 刘文印, 等.公众文本之情感词典研究进展[J]. 中国科学:信息科学, 2014, 44(7):825-835.(RAO Y H, LI Q, LIU W Y, et al. Progress of generating sentiment lexicons from text in social media[J]. Scientia Sinica(informationis), 2014, 44(7):825-835.)
[47] 宋灵超, 黄崑.基于社会标签的图像情感分类标注研究[J]. 图书情报工作, 2016, 60(21):103-112.(SONG L C, HUANG K.Research on image emotional annotations based on social tags[J]. Library and information service, 2016, 60(21):103-112.)
[48] LAKOFF G. Hedges:a study in meaning criteria and the logic of fuzzy concepts[J]. Journal of philosophical logic, 1973, 2(4):458-508.
[49] 周惠巍, 杨欢, 张静, 等.中文模糊限制语语料库的研究与构建[J]. 中文信息学报, 2015, 29(6):83-89.(ZHOU H W, YANG H, ZHANG J, et al. The research and construction of chinese hedge corpus[J]. Journal of Chinese information processing, 2015, 29(6):83-89.)
[50] CHOI E, TAN C, LEE L, et al. Hedge detection as a lens on framing in the GMO debates:a position paper[J]. arXiv preprint arXiv:1206.1066, 2012.
[51] 张晶.性别对自然口语中两岸模糊限制语使用的影响[J]. 华侨大学学报(哲学社会科学版), 2021(6):150-160.(ZHANG J. The role of gender in the use of linguistic hedges in natural spoken language between Taiwan and mainland[J]. Journal of Huaqiao University(philosophy & social sciences), 2021(6):150-160.)
[52] 陈明珠, 谢群.新冠肺炎疫情外宣新闻报道的模糊限制语研究——以People’s Daily为例[J]. 湖北经济学院学报(人文社会科学版), 2020, 17(9):100-103.(CHEN M Z, XIE Q.A study on the vague restrictive words in the news reports on the COVID-19 epidemic:taking people’s daily as an example[J]. Journal of Hubei University of Economics(humanities and social sciences), 2020, 17(9):100-103.)
[53] 赵华茗, 钱力, 余丽.依存句法特征的科研命名实体识别算法[J]. 图书情报工作, 2020, 64(11):108-115.(ZHAO H M, QIAN L, YU L.A research entity recognition algorithm based on dependency parsing[J]. Library and information service, 2020, 17(9):100-103.)
[54] HE H, CHOI J D. The stem cell hypothesis:dilemma behind multi-task learning with transformer encoders[J]. arXiv preprint arXiv:2109.06939, 2021.