公众网络反腐败参与研究——以全国网络问政平台的大数据分析为例
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  • 英文篇名:Public Participation in Anti-corruption: A Study of the Big Data from Message Board for Local Leaders
  • 作者:李莉 ; 孟天广
  • 英文作者:Li Li;Meng Tianguang;School of Political Science and Public Administration, China University of Political Science and Law;Department of Political Science,Tsinghua University;
  • 关键词:廉政治理 ; 网络问政 ; 大数据
  • 英文关键词:anti-corruption;;public participation through the internet;;big data
  • 中文刊名:ZXGL
  • 英文刊名:Chinese Public Administration
  • 机构:中国政法大学政治与公共管理学院;清华大学政治学系;
  • 出版日期:2019-01-01
  • 出版单位:中国行政管理
  • 年:2019
  • 期:No.403
  • 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)
  • 语种:中文;
  • 页:ZXGL201901009
  • 页数:8
  • CN:01
  • ISSN:11-1145/D
  • 分类号:47-54
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.
引文
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    (1)在本文的分析中,关于腐败的界定是较为狭义的刑法定义下的概念及犯罪类型,即仅包括贪污、受贿、索贿、渎职四种。但下文中将“以权谋私、官商勾结、三公消费、挪用公款和涉黑腐败”划为与腐败紧密相关的一些行为,这些行为在严格意义上并不能构成刑法规定下的腐败犯罪,但却与腐败紧密相关,属于腐败的灰色行为。
    (2)所有表格加起来都不等于100%,因为大数据分析是混合分类,比如一个投诉既涉及经济腐败,也可能同时涉及司法腐败。所以类别之间不是互斥、穷尽的。

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