摘要
[目的/意义]研究旨在定量测量突发公共卫生事件多元主体的信息披露水平,为研究突发公共卫生事件多元主体的信息披露行为提供新的分析框架。从数据层面揭示我国疫情期间信息披露的现状,为政府等相关主体调整信息发布内容、改善信息披露行为提供理论支撑。[方法/过程]以各主体发布的疫情相关微博为研究对象,构建多元主体信息披露内容及特征演化分析框架。利用改进的TFIDF-LDA模型进行主题提取,基于社会渗透理论测量社交媒体多元主体信息披露的广度和深度。最后结合生命周期理论分析信息披露内容特征,探究多元主体信息披露特征及演化趋势。[结果/结论]疫情期间多元主体的信息披露内容主题广泛,不同主体发布内容偏好和披露特征存在明显差异。政府的信息披露内容积极、质量最高,旨在正向引导舆论;主流媒体的信息披露范围广深度浅,对数据隐私保持高度敏感;自媒体的信息披露主题鲜明集中,主要承担科学传播任务。
[Purpose/significance]The research aims to quantitatively measure the information disclosure level of multiple subjects in public health emergencies and reveal the status of information disclosure during epidemics in China from the data level.It provided a new analytical framework for the research on the information disclosure behavior of multiple subjects and provided theoretical support for the government and other related entities to improve information services.[Method/process]The article took the microblogs related to the epidemic disclosed by each subject as the research object.It constructed an analysis model for the evolution of information disclosure contents and characteristics of multiple subjects.Then,we used the TFIDF-LDA model to extract topics and measured the breadth and depth of information disclosure based on the theory of social penetration.Finally,we analyzed the characteristics of information disclosure content based on the life cycle theory and explored the information disclosure model and evolution trend of multiple subjects.[Result/conclusion]The information disclosure content of multiple subjects during the epidemic was on a wide range of topics,and there were significant differences in the content and characteristics of different subjects’disclosure.The government’s disclosure was positive and of the highest quality.It aimed at positively guiding public opinion.Mainstream media had a wide range and depth of information disclosure and were highly sensitive to data privacy.Self-media had a distinctive and focused disclosure theme and mainly undertook scientific communication tasks.
作者
龚栩
邓胜利
Gong Xu;Deng Shengli(School of Information Management,Wuhan University,Hubei,430072)
出处
《情报资料工作》
CSSCI
北大核心
2022年第4期16-26,共11页
Information and Documentation Services
基金
国家自然科学基金项目“信息生态链视角下在线知识社区用户贡献行为评价及预测研究”(批准号:71974149)的研究成果之一。