智能舆论学知识体系建构的理论框架与实践路径  

Theoretical Framework and Practical Path of Constructing Knowledge System of Intelligent Opinion Science

作　　者：谢耘耕 李丹珉 Yungeng Xie;Danmin Li

机构地区：[1]上海交通大学媒体与传播学院 [2]华东政法大学韬奋新闻传播学院

出　　处：《新媒体与社会》2024年第4期296-311,424,425,共18页New Media and Society

基　　金：上海社科规划项目“计算政治对舆论安全的挑战及治理”(项目编号:2022BXW004)。

摘　　要：随着人工智能技术的迅猛崛起及其在各领域的深度渗透,传统舆论学理论在动态解析智能时代背景下的舆论现象方面遭遇瓶颈。为突破这一局限,本文提出构建智能舆论学知识体系这一命题,提出要以AI技术与大数据分析的深度融合为核心,通过知识体系创新重塑舆论学研究的理论范式。帮助人们深化对舆论现象的本质性理解,在学理层面拓宽舆论学研究的深度与广度,进而为舆论学的未来发展开辟新路径。With the rapid rise of artificial intelligence technology and its deep penetra-tion in various fields, traditional public opinion theory has encountered bottlenecks in dy-namically analyzing public opinion phenomena in the context of the intelligent era. To over-come this limitation, this article proposes the proposition of building an intelligent knowledgesystem for public opinion studies, with the deep integration of AI technology and big data a-nalysis as the core, and reshaping the theoretical paradigm of public opinion researchthrough knowledge system innovation. Help people deepentheir fundamental understanding of public opinion phenomena, broaden the depth and breadth of public opinion research atthe theoretical level, and thus open up new paths for the future development of public opin-ion studies.

关 键 词：人工智能(AI) 智能舆论学 知识体系构建 大数据分析 舆论管理 

分 类 号：G63[文化科学—教育学]