摘要
“舆情”作为一个本土化概念逐渐形成于20世纪90年代末,早期紧密关联社情民意,随着互联网与中国社会的不断发展、传播环境及语境变迁、理论与实践的张力加剧,“舆情”这一概念虽仍与“社情民意”相关,但同时也与“网络舆论”“网络集群”“网络群体性事件”“网络危机”“网络风险”等概念交混,呈现出复杂的学术景观,因此有必要全面梳理并廓清“舆情”这一本土化学术概念的内涵和意义。本文运用主题分析方法梳理20余年来形成的97个涉“舆情”概念文本及阐释性表述,部分参考扎根理论研究方法,将“舆情”概念体系归纳为发生机制、主客体关系、发生场域、传播内容、行为手段、本质属性、产生影响七个方面,进一步提炼“舆情”概念:信息时代及网络传播环境下,由特定事件触发,经网络空间涌现,在发生机制、主客体关系、发生场域、传播内容及形式、产生影响等方面有较高不确定性的信息传播现象。
The concept of"yu qing"as a localized term began to take shape in the late 1990s.Initially,it was closely associated with social conditions and public sentiment.However,as the Internet and Chinese society have evolved,"yu qing"has maintained these associations while increasingly acquiring negative connotations.Moreover,the term has become intertwined with concepts like"online public opinion""online clusters""network mass incidents""network crises"and"network risks",resulting in a more complex academic landscape.This paper employs thematic analysis to examine 97 texts and explanations related to concept of"yu qing"developed over the past 20 years.Drawing on grounded theory,the concept is categorized into seven key aspects:occurrence mechanism,subject-object relationship,occurrence field,communication content,behavioral methods,essential attributes,and impact.The paper further refines the definition of"yu qing"in the context of the information age and digital communication,highlighting its emergence from specific events within the digital sphere.The concept exhibits a high degree of uncertainty across its occurrence mechanism,subject-object dynamics,field of occurrence,communication content and form,as well as its impact.It underscores the significant ambiguity surrounding its various aspects and implications.
作者
刘元臻
巢乃鹏
Liu Yuanzhen;Chao Naipeng(School of Journalism and Communication,Nanjing University;School of Media and Communication,Shenzhen University)
出处
《新闻界》
CSSCI
北大核心
2024年第12期51-61,共11页
基金
深圳市哲学社会科学规划课题“新时代深圳舆论生态分析和治理研究”(SZ2023B020)
江苏省社科基金项目“网络舆情综合治理的江苏实践与优化路径研究”(24XWD004)。
关键词
舆情
理论渊源
学术视域
概念体系
不确定性
yu qing
theoretical origins
academic perspective
conceptual system
uncertainty
