自然科学版 英文版
自然科学版 英文版
自然科学版 英文版
 

中南大学学报(社会科学版)
ZHONGNAN DAXUE XUEBAO(SHEHUI KEXUE BAN)

2023年09月第29卷第5期
   
本文已被:浏览1046次    下载405次   
文章编号:1672-3104(2023)05-0148-14
 
中国网络内容治理政策:变迁脉络与工具选择——基于政策文本的内容分析
 
柴宝勇,陈若凡,陈浩龙
 
(中国社会科学院大学政府管理学院,北京,102488)
 
摘  要: 基于数字治理的视角,从网络内容生产模式变化的三个阶段:专业生成内容(PGC)、用户生成内容(UGC)和人工智能生成内容(AIGC)来考察中国网络内容治理政策的变迁脉络。选取1997年至2022年出台的81项网络内容治理政策文本,采用政策文本内容分析方法,建立了“治理工具—治理环境—治理价值”的三维政策分析框架。研究发现,这三个阶段网络内容治理政策的共性体现在对规范式治理工具的偏好和对安全、有序两大治理价值的选取方面;差异性不仅体现在运动式、引导式与智能式等治理工具在不同阶段的使用频率上,还体现在各阶段对发展、和谐治理价值的关注度上。中国政府在网络内容治理领域具有“强监管”的路径依赖、“善学习”的能力禀赋和“重稳定”的渐进特性,由此需要从治理工具、治理环境与治理价值三个维度入手,切实提高中国数字政府治理与数字社会治理能力。
 
关键词: 数字治理;网络内容治理;内容分析法;变迁脉络;工具选择
 
 
On China's policy of internet content governance: Evolution network and tool selection—A policy-text-based content analysis
 
CHAI Baoyong, CHEN Ruofan, CHEN Haolong
 
(School of Government, University of Chinese Academy of Social Sciences, Beijing 102488, China)
 
Abstract: Based on the perspective of digital governance, the paper examines the evolution thread of China's online content governance policies from the three stages of changes in the online content production mode from professionally generated content (PGC), user-generated content (UGC) to artificially intelligent generated content (AIGC). By selecting 81 online content governance policy texts between 1997 and 2022, and by adopting the methodology of content analysis of policy text, the study constructs a three-dimensional policy-analysis framework of "governance tools-governance environment-governance value", and finds that the commonality of Internet content governance policies at the three stages of development lies in the emphasis on normative governance tools and the two governance values of security and order, while the differences are reflected in the different percentages of the use of campaign-type, guided-type, and intelligent-type governance tools, as well as the differences in the attention paid to the governance values of development and harmony at different stages. The Chinese government has the path dependence of "strong regulation", the ability endowment of "good learning" and the gradual characteristic of "heavy stabilization" in the field of online content governance, which requires starting from the three dimensions of governance tools, governance environment and governance value to effectively improve the ability of digital government governance and digital social governance.
 
Key words: digital governance; internet content governance; content analysis; evolution thread; tool selection
 
 
版权所有:《中南大学学报(社会科学版)》编辑部 
地 址:湖南省长沙市岳麓区麓山南路932号     邮编: 410083
电 话: 0731-88830141
电子邮箱: znsk@csu.edu.cn 湘ICP备09001153号-4