INFORMATION RESEARCH

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).

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.

Cite this article

Jia Ruonan , Wang Xiwei , Wang Nanaxue . Research on Risk Assessment of Group Polarization of Online Public Opinion in Emergencies[J]. Library and Information Service, 2024 , 68(6) : 83 -92 . DOI: 10.13266/j.issn.0252-3116.2024.06.008

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