大数据驱动下的政府互联网治理能力提升与政府应对措施研究  

Research on the Improvement of Government Internet Governance Ability Driven by Big Data and Government Response Measures

作　　者：李世颉[1] 闫霏[2] 

机构地区：[1]中南民族大学公共管理学院,湖北 武汉 [2]中南民族大学图书馆,湖北 武汉

出　　处：《社会科学前沿》2021年第5期1288-1294,共7页Advances in Social Sciences

摘　　要：随着大数据成为国家战略,大数据信息技术在我国社会生活中的各个领域正逐步获得深入应用。在互联网治理领域,“大数据”将推动政府网络行为认知能力建设,在网络行为有效认知和人工智能的协助下,政府部门互联网治理能力将得到极大的提升。本文通过对互联网治理领域相关部门的调研,认识到要实现上述能力提升,在足够的经费投入和信息支撑系统建设前提下,政府还应该在数据驱动治理观念的形成,基于数据驱动治理的网络治理资源整合、围绕网络治理资源整合进行体制机制构建等层面进行变革。With big data becoming a national strategy, big data information technology is gradually applied in various fields of our social life. In the field of Internet governance, “big data” will promote the construction of cognitive ability of government network behavior. With the help of effective cognition of network behavior and artificial intelligence, the Internet governance ability of government departments will be greatly improved. Based on the investigation of relevant departments in the field of Internet governance, this paper realizes that in order to achieve the above-mentioned ability improvement, under the premise of sufficient funding and information support system construction, the government should also make changes in the formation of the concept of data-driven governance, the integration of network governance resources based on Data-driven governance, and the construction of system and mechanism around the integration of network governance resources.

关 键 词：互联网治理 大数据应用 互联网领导机制 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]