信息资源管理学报 ›› 2026, Vol. 16 ›› Issue (1): 23-36.doi: 10.13365/j.jirm.2026.01.023

• 学术专栏-网络暴力与虚假信息治理 • 上一篇    下一篇

群体极化效应中媒介对网络暴力行为的双向影响

马晓悦1 章留斌2   

  1. 1.西安交通大学新闻与新媒体学院,西安,710049; 
    2.西安交通大学马克思主义学院,西安,710049
  • 出版日期:2026-01-26 发布日期:2026-03-23
  • 作者简介:马晓悦(通讯作者),博士,教授,研究方向为网络心理学、信息行为分析,Email:xyma_mail@163.com;章留斌,博士研究生,研究方向为马克思主义新闻传播理论、新媒体与社会治理。
  • 基金资助:
    本文系国家自然科学基金项目“ 多模态环境下网络热点事件重提过程中的信息迁移规律与记忆机制研究”(72174164)和陕西省社会科学基金项目“ ‘ 十四五’时期陕西档案事业发展经验教训研究”(2025DAWT03)的研究成果之一。

Bidirectional Influence of Media on the Emergence and Inhibition of Cyberbullying in Group Polarization Effect

Ma Xiaoyue1 Zhang Liubin2   

  1. 1.School of Journalism and New Media,Xi’an Jiaotong University,Xi’an,710049; 
    2.School of Marxism,Xi’an Jiaotong University,Xi’an,710049
  • Online:2026-01-26 Published:2026-03-23
  • About author:Ma Xiaoyue (corresponding author), Ph. D., professor, research interests including cyberpsychology and information behavior analysis, Email: xyma_mail@163.com; Zhang Liubin, Ph. D. candidate, research interests including Marxist theories of journalism and communication, new media and social governance.
  • Supported by:
    This paper is one of the research outcomes of the National Natural Science Foundation of China, titled "Research on the Information Dissemination and Memory Mechanism during the Online Hotspot Events Re-mentioned Process in the Multimodal Environment" (72174164) and Social Science Foundation of Shaanxi Province "Experience and Lessons Learned from the Development of Shaanxi Archival Establishments during the 14th Five Year Plan Period" (2025DAWT03).

摘要: 群体极化效应所引发的网络暴力现象层出不穷,严重破坏社会秩序,但在舆论发酵过程中的转化关系与内在结构较为模糊,存在理论盲区。结合在线社会支持理论采用定性比较分析法对群体极化效应进行组态分析,并通过有序逻辑回归进行辅助检验。研究发现,情感支持框架作为核心要素贯穿大部分路径,是网暴行为的导火索;信息支持框架可诱发大众负面情绪,是引发网暴行为的前置条件;工具支持框架对网暴行为更多属于辅助性干预作用,协助构建媒介环境;评估支持框架对于网暴行为则具有一定的遏制作用,但其效果受情感波动影响。官方介入对于道德情绪波动较重的案例具有显著影响,社交机器人干预与官媒的议题建构通过转移注意消解极化立场,以此抑制网暴行为。本研究明确了从群体极化倾向显现到网暴行为演化的过程,构建了网暴行为组态整合机制,为网络空间治理提供了理论依据。

关键词: 网络暴力, 社交网络, 群体极化, 定性比较分析, 有序逻辑回归, 媒介

Abstract: The phenomenon of cyberbullying triggered by the group polarisation effect is endless and seriously disrupts social order, but the transformative relationship and internal structure between the group polarisation effect and cyberbullying are vague, and there is a theoretical blind spot. The study employed a combination of social support theory and qualitative comparative analysis to perform configuration analysis, as well as ordered logistic regression for supplementary testing. The study found that the emotional support framework is the trigger for cyberbullying and runs through most paths. The information support framework can induce negative emotions and is a prerequisite for cyberbullying. The tool support framework plays a more auxiliary role in cyberbullying by helping to construct the media environment. Finally, the evaluation support framework has a restraining effect on cyberbullying, though its effectiveness is affected by emotional fluctuations. Official intervention significantly impacts cases involving intense emotional turmoil, while artificial intelligence intervention and official media agenda-setting can suppress cyberbullying by shifting attention and defusing polarized positions. This study clarifies the process from the emergence of group polarisation tendencies to the development of cyberbullying, constructs a mechanism for integrating cyberbullying group dynamics, and provides a theoretical basis for cyberspace governance.

Key words: Cyberbullying, Social networking, Group polarization, QCA, Ordered logistic regression, Media

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