摘要
贪腐问题不仅是党和政府致力于解决的重大社会问题,也是民众网络政治参与的重要诉求内容。本文通过网络问政平台获得的民众网络举报腐败投诉的海量信息,综合应用自动文本分析、空间分析和统计分析方法,描述和统计了民众网络投诉的数量变化、议题类型分布状况以及不同身份的投诉主体的诉求内容。民众通过网络这一信息平台进行腐败投诉的行为不仅是新媒介环境下实现政治参与的有效手段,而且也是观察十八大以来反腐倡廉工作成效的渠道。
This paper explores the problem of public participation in anti-corruption through the internet. Based on the big data from the Message Board for Local Leaders in China, the text analysis, unsupervised learning methods and Spatial analysis method are employed to answer what and how the public participate in the anti-corruption activities. We find that different features on the reporting issues about corruption exist in different groups. It is more efficient for the public to report corruption.
作者
李莉
孟天广
Li Li;Meng Tianguang(School of Political Science and Public Administration,China University of Political Science and Law,Beijing 100088;Department of Political Science,Tsinghua University,Beijing 100084)
出处
《中国行政管理》
CSSCI
北大核心
2019年第1期45-52,共8页
Chinese Public Administration
基金
国家社会科学基金重大项目"全面加强惩治和预防腐败体系建设:战略
路径与对策研究"(编号:13&ZD011)
中国政法大学国家监察院数据库建设项目(编号:23618062)
关键词
廉政治理
网络问政
大数据
anti-corruption
public participation through the internet
big data
