摘要
隐性腐败是腐败的一种变异形式,其具有行为方式隐蔽、暴露可能性低、因果关系认定难等典型特征。传统治理模式难以有效治理隐性腐败,而具有时效性、全程性优势的大数据技术能有效弥补传统治理模式之不足。因此,在隐性腐败治理中引入大数据有其必要性。然而,大数据的运行方式及主导者的趋利本性导致大数据治理模式在数据质量、个人隐私、技术专制方面存在风险。纪检监察机关应尽可能规避大数据治理风险,构建一套系统的数据治理机制,形成稳定的隐性腐败大数据治理模式。
Implicit corruption is a variant form of corruption,which is characterized by implicit behavior,low possibility of exposure,and difficulty in determining causality.Traditional governance models are unable to effectively address this form of corruption.The big data technology with the advantages of timeliness and whole process can significantly fill the gap in the traditional governance approach.Therefore,it is necessary to introduce big data into the governance of implicit corruption.However,the operational nature of big data and the profit-oriented nature of its controllers bring about risks regarding data quality,individual privacy,and technological authoritarianism.Supervisory and disciplinary agencies should strive to avoid the risk of big data governance,establish a comprehensive data governance mechanism to foster a stable big data model for the governance of implicit corruption.
作者
马少猛
马瑞凤
Ma Shaomeng;Ma Ruifeng
出处
《常州大学学报（社会科学版）》
2024年第5期13-22,共10页
Journal of Changzhou University:Social Science Edition
基金
河北省社会科学基金一般项目“基于大数据的隐性腐败治理机制研究”(HB23ZZ002)
湖南省研究生科研创新项目“纪检监察执纪执法指导性案例制度研究”(CX20230576)。
关键词
隐性腐败
大数据
治理机制
implicit corruption
big data
governance mechanism
