基于CiteSpace的公共安全领域网络舆情危机处理研究
CiteSpace-based Study on Management of Online Public Opinion Crises in the Field of Public Safety
全晓丽 1陈婷 2胡玥3
作者信息
- 1. 吉林警察学院,吉林 长春130117
- 2. 长春大学,吉林 长春130000
- 3. 吉林警察学院,吉林 长春130117;长春大学,吉林 长春130000
- 折叠
摘要
随着信息技术发展与社交媒体普及,网络舆情危机已成为公共安全领域不容忽视的重要议题.本文基于CiteSpace可视化软件,对国内近 5 年公共安全领域网络舆情危机处理研究展开详尽的可视化探析.通过共现分析、聚类分析、生成关键词的时区图及突现图,揭示出该领域研究热点、衍化路径、前沿问题及发展态势.研究发现,现有研究存在着研究视野狭窄、研究内容单一、应用落地有限等显著问题,其未来研究重心将会聚焦于舆情危机治理特色化、危机处理方法多元化、舆情危机研究系统化等方向,以期为新时代公共安全领域网络舆情危机处理研究的高质量发展提供参考.
Abstract
With the development of information technology and the widespread popularity of social media,the emergence of online public opinion crises has become an issue that cannot be overlooked in the field of public safety.Based on the CiteSpace visualization software,this study conducts a detailed visual analysis of Chinese scholars'research on the management of online public opinion crises in the field of public safety over the past five years.Utilizing co-occurrence analysis,cluster analysis,time-zone map and emergence map of generated keywords,this study reveals the research hot spots,derivation paths,cutting-edge issues,and developmental trends in the field of public safety.It also discusses several notable deficiencies,such as narrow research horizons,monotonous research content,as well as the inadequate implementation of application.Additionally,this study explores primary directions for future research,including the specialization in the management of public opinion crises,the diversification of crisis management strategies,and the systematization of the research on public opinion crises.These efforts are intended to provide reference for advancing the high-quality development of research on management of online public opinion crises within the field of public safety in the new era.
关键词
网络舆情危机/公共安全/CiteSpace/热点衍化/前沿问题Key words
online public opinion crises/public safety/CiteSpace/derivation of hot spots/cutting-edge issues引用本文复制引用
基金项目
吉林省青少年发展研究计划课题(2024jqy-115)
吉林省科技发展计划项目(20240701147FG)
出版年
2024
NETL
NSTL
万方数据