SPECIAL TOPIC: Evolution and Governance of Social Media Group Behavior

Research on the Analysis and Guidance of Online Group Opinion Evolution for Network Social Governance

  • Liu Jiayu ,
  • Li He ,
  • Shen Wang ,
  • Shi Qianru ,
  • Yang Xinmiao
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  • School of Business and Management, Jilin University, Changchun 130012
Liu Jiayu, Assistant Research Fellow, PhD, Dingxin Postdoc; Li He, Professor, PhD, Doctoral Supervisor, Corresponding Author, E-mail: lihe200303@163.com; Shen Wang, Professor, PhD, Doctoral Supervisor; Shi Qianru, Doctoral Candidate; Yang Xinmiao, Doctoral Candidate.

Received date: 2024-11-27

  Revised date: 2025-03-02

  Online published: 2025-11-20

Supported by

This work is supported by the youth project of National Natural Science Foundation of China, titled “Research on the Evolutionary Mechanism of Social Media Group Behavior and the Discovery of Special Behavior Groups Based on System Hierarchy Evolution” (Grant No. 72304111).

Abstract

[Purpose/Significance] Sorting out the current research status and shortcomings of online group opinion evolution both domestically and internationally aims to propose a guidance path for its development, and provide a reference for the governance of online society. [Method/Process] Based on a review of relevant research, it reconstructed the online group opinion evolution survey by combining a meso-group perspective, cutting-edge technologies in complex networks, situational awareness theory, and empirically driven opinion dynamics. It constructed a path model for guiding the evolution of online group opinion for network social governance. [Result/Conclusion] Based on the model in this paper, it proposes the three-stage differentiated strategy of “graded guidance,” “resilient guidance,” and “push-pull guidance,” which can be used to effectively address issues of identity recognition, structural complexity, and ambiguous contexts within the governance of network societies. Additionally, the closed-loop framework of “data-knowledge-intelligence-decision” facilitates the dynamic transformation from analysis of opinion evolution to strategies for governing network societies.

Cite this article

Liu Jiayu , Li He , Shen Wang , Shi Qianru , Yang Xinmiao . Research on the Analysis and Guidance of Online Group Opinion Evolution for Network Social Governance[J]. Library and Information Service, 2025 , 69(23) : 46 -57 . DOI: 10.13266/j.issn.0252-3116.2025.23.004

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