大语言模型干预网络欺凌受害者心理韧性：以自尊自悯为靶点
Large language model-facilitated interventions for enhancing psychological resilience in cyberbullying victims: Targeting self-esteem and self-compassion
岸本鹏子 1郝熙鸣 2艾尼卡尔·艾斯卡尔 2夏雨飞 3白麒钰3
作者信息
- 1. 应用实验心理北京市重点实验室;北京师范大学心理学部
- 2. 南开大学社会学院社会心理学系
- 3. 北京大学新媒体研究院
- 折叠
摘要
本研究以自尊和自悯为靶点，探索大语言模型(LLM)在干预网络欺凌受害者心理韧性中的效果与作用路径。研究1(干预效果检验)采用随机对照设计，比较自尊-自悯对话、心理教育对话和心理教育阅读三组的干预效果。结果显示两组对话式LLM均显著提升了心理韧性。研究2(作用路径分析)进一步采用网络干预分析揭示干预作用路径，发现自尊-自悯对话干预除了可以直接提高心理韧性外，还可以靶向孤立感、正念和社交维度自尊，通过自尊自悯多维度的相互作用，提升干预效果。本研究首次聚焦自尊与自悯路径，基于LLM构建具备共情交互能力的对话干预平台，为网络欺凌受害者提供个性化心理支持，并为智能化心理干预工具的开发提供理论依据与实践路径。
Abstract
Enhancing the psychological resilience of individuals who have experienced cyberbullying not only contributes to improved mental health but also effectively mitigates the negative impact of victimization. Interventions targeting self-esteem and self-compassion may represent a feasible pathway for strengthening resilience. Online interventions offer the advantages of scalability and timeliness, while the integration of large language models (LLM) can further reduce costs and enhance intervention efficacy. In Study 1, 59 participants were randomly assigned to one of three groups: a self-esteem and self-compassion dialogue intervention group (Experimental Group 1), a psychoeducational dialogue intervention group (Experimental Group 2), and a psychoeducational reading control group. Results indicated that both LLM-facilitated dialogue interventions (Groups 1 and 2) significantly improved psychological resilience. Study 2 replicated the design with a new sample of 105 participants and employed network intervention analysis to explore the distinct mechanisms underlying the two LLM-facilitated interventions. Results revealed that the self-esteem and self-compassion dialogue intervention not only directly improved psychological resilience but also targeted feelings of isolation, mindfulness, and self-esteem in social dimensions. Through the multi-dimensional interaction of self-esteem and self-compassion, it promoted further improvement of the intervention effect. These studies provide preliminary evidence for the application of LLM in resilience-focused interventions for cyberbullying victims. The findings demonstrate that targeting self-esteem and specific components of self-compassion can effectively enhance psychological resilience and mental well-being. Moreover, the research identifies novel intervention targets, offering both theoretical insights and practical implications for future studies.关键词
大语言模型/网络欺凌/心理韧性/自尊/自悯Key words
large language models/cyberbullying/psychological resilience/self-esteem/self-compassion引用本文复制引用
岸本鹏子,郝熙鸣,艾尼卡尔·艾斯卡尔,夏雨飞,白麒钰.大语言模型干预网络欺凌受害者心理韧性：以自尊自悯为靶点[EB/OL].(2026-02-14)[2026-02-17].https://chinaxiv.org/abs/202602.00172.学科分类
预防医学/信息传播、知识传播/计算技术、计算机技术
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