摘要
[目的/意义]旨在实现对国外政务社交媒体研究的全景式认知,推动国内政务社交媒体研究和治理实践的发展。[方法/过程]基于2000-2020年Web of Science核心合集,运用Cite Space V可视化知识网络分析工具和文献计量法,定量分析国外政务社交媒体的研究现状、热点和演进趋势。[结果/结论]研究热点具体表现为:政务社交媒体采纳的影响因素(学习最佳实践、竞争、领导授权、公众压力)和使用策略(推动策略、拉拢策略、建立互动网络策略等);政务社交媒体的使用效果(政府透明、政府信任度、公众参与、政府创新);政务社交媒体面临的问题、机遇与挑战(信息安全、数字鸿沟、政府信任度低等)。演进趋势为:政务社交媒体实现了从发展电子政务到公众参与的大飞跃。最后,基于国外政务社交媒体的研究,给出了我国政务社交媒体研究的启示。
[Purpose/significance]Realizing the panoramic cognition of foreign government social media is helpful to promote the development of domestic government social media research and governance practice.[Method/process]Based on Web of Science core database (2000-2020),this paper applied the bibliometric method and the visualized knowledge network analysis tool Cite Space V to make a quantitative analysis of foreign government social media knowledge base,hot topic and evolution trend.[Result/conclusion]The hot topics are shown as follows:the knowledge base of research on foreign government social,mainly including the determinants of the adoption of government social media (learning best practice,competition,leadership authorization,public pressure,etc.) and the use strategies (push tactics,pull tactics,network tactics,etc.);the effectiveness of the government’s using of social media (government transparency,government trust,public participation,government innovation);problems,opportunities and challenges of government social media (information security,digital divide,low government trust,etc.).Evolution trend:government social media has achieved a great leap from the development of e-government to citizen participation.Finally,based on the study of foreign government social media,the enlightenment of domestic government social media research was given.
作者
刘焕
宋苗
Liu Huan;Song Miao(School of Journalism and New Media,Xi’an Jiaotong University,Xi’an 710049)
出处
《知识管理论坛》
2020年第6期349-362,共14页
Knowledge Management Forum
基金
国家社会科学基金青年项目“政务新媒体运行绩效的影响机制与改进策略研究”(项目编号:18CXW003)研究成果之一
关键词
政务社交媒体
政务新媒体
可视化分析
文献计量法
government social media
government new media
visualization analysis
bibliometric analysis
