图书情报工作 ›› 2021, Vol. 65 ›› Issue (7): 143-154.DOI: 10.13266/j.issn.0252-3116.2021.07.014

• 综述述评 • 上一篇    

网络舆情研究进展及其主题关联关系路径分析

孙倬1, 赵红1,2, 王宗水3   

  1. 1 中国科学院大学经济与管理学院 北京 100190;
    2 中国科学院大学中丹学院 北京 100190;
    3 北京信息科技大学经济管理学院 北京 100192
  • 收稿日期:2020-10-11 修回日期:2021-01-07 出版日期:2021-04-05 发布日期:2021-04-23
  • 通讯作者: 王宗水(ORCID:0000-0001-6898-9351),教授,硕士生导师,通讯作者,E-mail:wangzongshui8@163.com。
  • 作者简介:孙倬(ORCID:0000-0002-0386-6809),博士研究生。
  • 基金资助:
    本文系国家自然科学基金面上项目"移动营销情境下基于人工智能的营销策略对顾客获取-维系-流失-赢回的影响研究"(项目编号:71972175)和国家重点研发计划项目"视听媒体收视调查与文化品牌评估理论与技术"(项目编号:2017YFB1400500)研究成果之一。

Analysis on the Association and Evolution Path of Internet Public Opinion

Sun Zhuo1, Zhao Hong1,2, Wang Zongshui3   

  1. 1 School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190;
    2 Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100190;
    3 School of Economics and Management, Beijing Information Science & Technology University, Beijing 100192
  • Received:2020-10-11 Revised:2021-01-07 Online:2021-04-05 Published:2021-04-23

摘要: [目的/意义] 梳理网络舆情的研究进展,有助于厘清网络舆情研究的知识基础、传导规律、预警机制和治理策略等之间的内在联系和主题演化路径。[方法/过程] 首先分析网络舆情的理论知识基础,然后结合现有研究,按照内容递进的规律将网络舆情研究分为影响因素、传导路径、预警机制以及引导治理策略四个主题,采用内容分析法和社会网络分析法对网络舆情进行主题关联关系分析和演化路径探索。[结果/结论] 结果表明,生命周期理论、认知定势理论、沉默的螺旋、群体极化理论、蝴蝶效应理论和治理理论常作为网络舆情研究的理论知识基础,网络媒介环境、社会结构压力、网民心理、触发性事件、有效动员和社会控制力量六个因素被视为网络舆情演化的重要影响要素,且网络舆情、舆情事件、社交媒体、利益相关者、大数据和信息传播等六个主题与其他研究内容关系较为密切,在主题演化路径中发挥着重要桥接作用。

关键词: 网络舆情, 内容分析, 关联关系, 路径分析, 动态演化

Abstract: [Purpose/significance] This paper aims to sort out the research progress of network public opinion, which helps to clarify the internal relationship and theme evolution path among the knowledge base, transmission law, early warning mechanism and governance strategy of network public opinion research. [Method/process] Firstly, this paper analyzed the theoretical knowledge basis of network public opinion. Then, according to the law of content progression, the research of network public opinion was divided into four themes: influencing factors, transmission path, early warning mechanism and guiding governance strategy. Content analysis and social network analysis were used to analyze the topic correlation and explore the evolution path of network public opinion. [Result/conclusion] The results show that life cycle theory, cognitive set theory, silence spiral, group polarization theory, butterfly effect theory and governance theory are often used as the theoretical knowledge basis of network public opinion research. In addition, the network media environment, social structure pressure, netizens’ psychology, trigger events, effective mobilization and social control force are regarded as the important factors influencing the evolution of network public opinion. Moreover, the six themes of online public opinion, public opinion events, social media, stakeholders, big data and information dissemination are closely related to other research contents, and they play an important bridging role in the evolution path of themes.

Key words: network public opinion, content analysis, association analysis, path analysis, dynamic evolution

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