基于大数据分析的中国Z世代消极情绪预防与干预策略探讨  

Prevention and Intervention Strategies ofGeneration Z in China Based on Big Data Analysis

作　　者：宋传祥[1] SONG Chuanxiang(Shaanxi Institute of Technology,Xi’an Shaanxi 710300)

机构地区：[1]陕西国防工业职业技术学院,陕西西安710300

出　　处：《陕西国防职教研究》2024年第4期24-27,共4页Shaanxi Guofang Vocational Education Research

基　　金：陕西国防工业职业技术学院2024年度科研计划项目:Z世代消极情感的形成机制与消减对策研究(项目编号:Gfy24-33)。

摘　　要：随着大数据技术的发展,大数据技术在心理健康领域的应用展现出巨大潜力。本研究以中国Z世代为研究对象,探讨了大数据分析在预防与干预Z世代消极情绪中的应用效果。通过分析社交媒体、移动健康应用和在线行为数据,本文成功识别了影响Z世代心理健康的关键因素,并基于这些数据开发了个性化的预防和干预策略。研究结果表明,这些策略能显著提高心理健康干预的针对性和效果,为心理健康专业人士提供了新的工具和方法。本文也讨论了大数据应用在心理健康领域的局限性,并提出了未来研究的方向。With the development of big data technology,the application of big data technology in the field of mental health shows great potential.In this study,Generation Z in China investigated the effectiveness of big data analysis in the prevention and intervention of Generation Z negative emotions.By analyzing social media,mobile health applications and online behavioral data,key factors affecting the mental health of Generation Z and developed personalized prevention and intervention strategies are successfully identified based on these data.The results suggest that these strategies can significantly improve the pertinence and effectiveness of mental health interventions,providing new tools and methods for mental health professionals.The limitations of big data applications in the field of mental health are also discussed and suggests directions for future research.

关 键 词：大数据 Z世代 心理健康 消极情绪 干预策略 

分 类 号：B849[哲学宗教—应用心理学]