图书情报工作

图书情报工作 >

2024 , Vol. 68 >Issue 6: 83 - 92

DOI: https://doi.org/10.13266/j.issn.0252-3116.2024.06.008

情报研究

突发事件网络舆情群体极化风险评估研究

  • 贾若男 ,
  • 王晰巍 ,
  • 王楠阿雪
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  • 1 湘潭大学公共管理学院 湘潭 411105;
    2 吉林大学商学与管理学院 长春 130022;
    3 吉林大学大数据管理研究中心 长春 130022;
    4 吉林大学国家发展与安全研究院网络空间治理研究中心 长春 130022;
    5 吉林大学国家发展与安全研究院 长春 130022
贾若男，讲师，硕士生导师；王楠阿雪，博士研究生。

收稿日期: 2023-07-31

  修回日期: 2023-11-06

  网络出版日期: 2024-03-28

基金资助

本文系湖南省社会科学基金青年项目“突发事件情境下网络舆情生态失衡风险及治理策略研究”（项目编号：22YBQ052）、国家社会科学基金重大项目“大数据驱动的社交网络舆情主题图谱构建及调控策略研究”（项目编号：18ZDA310）和吉林大学研究生创新研究计划项目“重大突发事件下网络舆情传播主题图谱构建及风险识别研究”（项目编号：2022135）研究成果之一。

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Research on Risk Assessment of Group Polarization of Online Public Opinion in Emergencies

  • Jia Ruonan ,
  • Wang Xiwei ,
  • Wang Nanaxue
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  • 1 School of Public Administration, Xiangtan University, Xiangtan 411105;
    2 School of Business and Management, Jilin University, Changchun 130022;
    3 Research Center for Big Data Management, Jilin University, Changchun 130022;
    4 Cyberspace Governance Research Center, National Academy of Development and Security, Jilin University, Changchun 130022;
    5 National Academy of Development and Security, Jilin University, Changchun 130022

Received date: 2023-07-31

  Revised date: 2023-11-06

  Online published: 2024-03-28

Supported by

This work is supported by the Youth Program of Social Science Fund of Hunan Province titled “Risk and Management Strategy of Ecological Imbalance of Online Public Opinion in Emergency” (Grant No. 22YBQ052), Key Program of National Social Science Fund of China titled “Topic Graph Construction and Regulation of Social Network Public Opinion Driven by Big Data” (Grant No. 18ZDA310), and Postgraduate Innovation Program of Jilin University titled “Topic Graph Construction and Risk Identification of Online Public Opinion Communication in Emergencies” (Grant No. 2022135).

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摘要

[目的/意义] 在突发事件网络舆情的演变过程中，用户会分化成不同的群体，随着群体内部共同立场的不断建构和强化，群体极化最终形成。由于极化可能会带来严重的社会、文化、经济和政治冲击，对极化风险进行评估和应对显得尤为重要。[方法/过程] 在对突发事件网络舆情、群体极化、议程设置等相关概念与理论进行系统回顾与梳理的基础上，遵循“数据—知识—服务”的转化路径提出群体极化风险评估模型：首先，构建事件多维主题图谱以形成舆情知识资源集合；其次，从中确定群体极化风险要素抽取维度并量化末级指标；最后，采用熵权法进行风险评估，并提出具有针对性的应对策略。[结果/结论] 舆情影响力对群体极化风险的影响最大，其次是公众议程多元程度，在所有风险要素中，公众情感极化程度的权值最小。

关键词： 突发事件; 网络舆情; 群体极化; 风险评估

本文引用格式

贾若男 , 王晰巍 , 王楠阿雪 . 突发事件网络舆情群体极化风险评估研究[J]. 图书情报工作, 2024 , 68(6) : 83 -92 . DOI: 10.13266/j.issn.0252-3116.2024.06.008

Abstract

[Purpose/Significance] In the evolution process of online public opinion in emergencies, users gradually form different groups. With the strengthening of the common position within the group, group polarization will finally take shape. Due to its serious social, cultural, economic, and political impacts, it is particularly important to assess and respond to polarization risks.[Method/Process] This paper systematically reviewed the concepts and theories related to online public opinion, group polarization, agenda setting. It proposed the risk assessment model of group polarization following the transformation path of “data-knowledge-service”. Firstly, it constructed a multidimensional thematic map of events to form a collection of public opinion knowledge resources. Secondly, it determined the dimensions of group polarization risk factors and quantified the end level indicators. Finally, it adopted the entropy weight method for risk assessment and proposed response strategies.[Result/Conclusion] The results show that public opinion influence has the greatest impact on the risk of group polarization, followed by the degree of public agenda pluralism. Among all risk elements, the degree of public sentiment polarization has the least entropic weight.

Key words： emergencies; online public opinion; group polarization; risk assessment

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