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

Public Participation in Anti-corruption: A Study of the Big Data from Message Board for Local Leaders

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.