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算法双重角色下的智能社会网络暴力传播:趋势、动因及治理路径OACHSSCD

Cyberbullying Dissemination in Intelligent Society under Algorithmic Dual-roles:Trends,Motivations and Governance Paths

中文摘要英文摘要

智能社会加剧网络暴力传播风险,使传统治理失灵.算法作为核心技术,既是网络暴力助推者,又蕴含遏制者潜能.本研究从这一双重角色切入,通过文献调研和逻辑思辨,梳理网络暴力智能化与心理动态化的传播趋势,剖析算法作为助推者通过伪造、操纵、催化加剧暴力和作为遏制者通过抑制、净化、疏导修复生态的作用机理,进而提出涵盖政府、平台、算法设计者与用户多元协同主体的治理路径,为智能社会网络暴力治理提供理论新意与实践指引.

The intelligent society amplifies the risks of cyberbullying dissemination,rendering traditional govern-ance mechanisms ineffective.As a core technological component,algorithms serve dual-roles:both as enablers of cy-berbullying and as potential restrainers.This paper investigates this dual-roles through literature review and theoretical analysis,systematically examining the dissemination trends of cyberbullying characterized by algorithmic empower-ment and psychological dynamics.We dissect the operational mechanisms through which algorithms exacerbate cyber-bullying via content fabrication,emotional manipulation,and conflict amplification,while simultaneously analyzing their counteractive potential through content suppression,environmental purification,and behavioral guidance.Building upon this dual-roles analysis,we propose a collaborative governance framework involving multi-stakeholder partici-pation from governments,platforms,algorithm designers,and users.This paper contributes theoretical innovation and practical guidance for addressing cyberbullying governance challenges in intelligent society,offering insights into the synergistic optimization of technological governance and social regulation mechanisms.

陈烨;许浩;程卿玄

南京大学信息管理学院,南京,210023北京大学新媒体研究院,北京,100871北京大学新媒体研究院,北京,100871

社会科学

智能社会网络暴力网络暴力治理算法双重角色治理路径

Intelligent societyCyberbullyingCyberbullying governanceAlgorithmsDual-rolesGovernance Paths

《信息资源管理学报》 2026 (1)

10-22,13

本文系国家自然科学基金"可解释、可通用的下一代人工智能方法"重大研究计划培育项目"人机交互视角下数据与知识双驱动的可解释智能决策方法研究"(92370112)、湖北省自然科学基金创新群体项目"以人为本的人工智能创新应用"(2023AFA012)的研究成果之一.(This is an outcome of the Major Research Plan Cultivation Project"Research on Interpretable Intelligent Decision Making Meth-ods Driven by Both Data and Knowledge from the Perspective of Human-Computer Interaction"(92370112)supported by National Natural Science Foundation of China and the Innovation Group Project"Human-Centered Artificial Intelligence Innovative Applications"(2023AFA012)supported by Natural Science Foundation of Hubei Province.)

10.13365/j.jirm.2026.01.010

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