摘要
当前网络媒体态势感知受到实务与学术界的重视,但相关研究较为分散。系统性文献综述有助于形成对网络媒体态势感知研究的系统性、全景式理解,增进不同具体领域之间的交流与对话。本文采用系统性文献综述方法对SSCI/SCI/CSSCI期刊论文进行分析,基于系统综述和荟萃分析首选报告项目(preferred reporting items for systematic reviews and meta-analyses,PRISMA)方法收集、锚定文献样本框,通过“自下而上”的编码方式对网络媒体态势感知研究内容进行分析和梳理。本文细化了网络媒体态势感知的“察觉、理解和预测”三层次框架。其中,察觉层包括内容察觉、时空察觉和情感察觉,理解层包括目标事件理解和热点事件理解,预测层包括内容突发预测、时空异常预测和情绪异常预测。在此基础上,构建了网络媒体态势感知“数据、察觉、理解和预测”四层次理论框架,并揭示了其理论与实践意义。
The situational awareness of online media has received attention from both industry and academia.However,the related studies are unorganized.By systematically reviewing the relevant literature,this study provides a systematic understanding of online-media situation awareness to promote communication between different fields.The PRISMA(Preferred Reporting Items for Systematic reviews and Meta-Analyses)method is employed to obtain and organize SSCI(Social Sciences Citation Index)/SCI(Science Citation Index)/CSSCI(Chinese Social Sciences Citation Index)literature.After performing content coding and analysis under the three-level framework of“perception,comprehension,and projection,”the content of online-media situation awareness is refined.The perception layer includes content,time,space,and emotion perceptions.The comprehension layer includes an understanding of the target and hot events.The projection layer includes content burst,spatiotemporal anomaly,and emotional anomaly predictions.Subsequently,a four-level theoretical framework of“data,perception,comprehension,and projection”for online-media situation awareness is constructed,and its theoretical and practical significance is revealed.
作者
黄梅银
王芳
刘清民
Huang Meiyin;Wang Fang;Liu Qingmin(Department of Information Resources Management,Business School,Nankai University,Tianjin 300071;Center for Network Society Governance,Nankai University,Tianjin 300071)
出处
《情报学报》
CSSCI
CSCD
北大核心
2024年第9期1046-1058,共13页
Journal of the China Society for Scientific and Technical Information
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”(20ZDA039)。
作者简介
黄梅银,女,1994年生,博士研究生,主要研究领域为政府数据治理;通信作者:王芳,女,1970年生,博士生导师,主要研究领域为知识发现、政府信息资源管理,E-mail:wangfangnk@nankai.edu.cn;刘清民,男,1993年生,博士研究生,主要研究领域为自然语言处理。
