摘要
[研究目的]极端思想的在线传播对构建清朗包容的网络环境形成极大挑战,也为仇恨暴力行动埋下隐患。科学的激进化风险评估有助于预防和打击网络极端主义。[研究方法]从激进化理论和差异交往-强化理论出发,提出基于社交媒体数据的用户认知激进化风险评估方法,从微观、中观、宏观三方面综合考量,进一步划分定义、差异交往、模仿、差异强化等维度,选取关键因素,构建用户激进化风险评估指标体系。采集社交媒体数据,通过指标计算,利用TOPSIS法排序,通过聚类分析划分风险等级和预警级别。[研究结果/结论]实验结果表明,该研究所提出的方法能够有效地评估网络环境下用户激进化风险,有利于提升评估和检测的可解释性,为制定有针对性的风险管理策略提供科学依据和参考。
[Research purpose]The dissemination of extremist ideas online presents a significant challenge to creating a clear and inclusive network environment,and poses a hidden danger for hate violence.A systematic risk assessment system for cognitive radicalization can play a crucial role in preventing and combating online extremism.[Research method]Inspired by the radicalization theory and differential interaction-reinforcement theory,this study proposes a risk assessment method for user cognitive radicalization based on social media data.It explores dimensions such as definition,differential association,imitation,and differential reinforcement,systematically selecting influencing factors to construct a user cognitive radicalization risk assessment index system.Social media data was collected,and indicator values were calculated.The TOPSIS method was employed for ranking.Additionally,the risk level and early warning level were further classified through cluster analysis.[Research result/conclusion]The experimental results demonstrate that the proposed method can effectively assess user radicalization risk online.It is beneficial for enhancing the interpretability of assessment results and detection to provide a scientific basis for formulating targeted risk management strategies.
作者
安璐
郝阳歧
An Lu;Hao Yangqi(Wuhan University,Wuhan 430072)
出处
《情报杂志》
2025年第4期108-116,共9页
Journal of Intelligence
基金
国家社会科学基金重大项目“不确定环境下韧性社会智能情报支持与决策研究”(编号:23&ZD230)研究成果。
关键词
社交媒体
风险评估
评价指标
差异交往-强化理论
激进化理论
TOPSIS法
social media
risk assessment
assessment indicator
differential interaction-reinforcement theory
radicalization theory
TOPSIS method
