RESEARCH PAPERS

Identification of Early Online Violence Through Text Tendency Analysis and Collective Intent Recognition

  • Yu Yintian ,
  • Cao Gaohui ,
  • Dong Huanqing
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  • 1 School of Information Management, Central China Normal University, Wuhan 430079;
    2 Center for Data Governance and Intelligent Decision Making of Hubei Province, Wuhan 430079
Yu Yintian, Doctoral Candidate; Cao Gaohui, Professor, PhD, Doctoral Supervisor, E-mail: ghcao@mail.ccnu.edu.cn; Dong Huanqing, Doctoral Candidate.

Received date: 2025-06-23

  Revised date: 2025-08-07

  Online published: 2026-08-20

Abstract

[Purpose/Significance] To solve the problem of delayed response in the governance of online violence, and to enable the early warning and intervention for the online violence, this paper proposes a framework for the early identification of online violence. [Method/Process] Based on intergroup emotion theory, this paper adopts text tendency analysis and collective intent recognition to identify the key nodes in the evolution of early online violence, constructs the early-stage scenarios, and proposes phased intervention strategies for each stage. [Result/Conclusion] This study constructes a scenario system of early online violence, covering six types of situations. The accuracy of identification and the feasibility of intervention plans are validated through case studies. It proposes targeted and highly operational intervention strategies. The findings provide empirical support and strategic suggestions for the government to optimize risk warning and institutional design, and for platforms to enhance content identification and response capabilities.

Cite this article

Yu Yintian , Cao Gaohui , Dong Huanqing . Identification of Early Online Violence Through Text Tendency Analysis and Collective Intent Recognition[J]. Library and Information Service, 2026 , 70(17) : 148 -160 . DOI: 10.13266/j.issn.0252-3116.2026.17.011

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