摘要
[目的/意义]分析突发公共卫生事件背景下社交媒体用户健康信息焦虑的影响因素,为国内外学者进一步探究社交媒体用户健康信息焦虑问题提供理论与应用参考.[方法/过程]基于信息生态理论,从信息人、信息、信息环境和信息技术4个雏度提取要素,结合改进的解释结构模型(ISM)和交叉矩阵相乘法(MICMAC)对社交媒体用户健康信息焦虑的影响因素进行关联路径分析和层级模型构建.[结果/结论]研究结果表明解释结构模型中的直接层因素、中间层因素和根源层因素与交叉矩阵相乘法中所得出的独立群因素、自治群因素和依赖群因素在影响性质上具有高度的一致性,进一步证明解释结构模型对影响因素的关联分析和层级分类具有可行性.
[Purpose/significance]Analyzing the influencing factors of social media users’health informationanxiety in the context of public health emergencies can provide theoretical and applied reference for domestic and for-eign scholars to further explore the health information anxiety of social media users.[Method/process]Based on in-formation ecology theory,factors are extracted from four dimensions of information person,information,informationenvironment and information technology.The correlation path analysis and hierarchical model construction were car-ried out for the influencing factors of health information anxiety of social media users combined with the improved ISMmodel and the cross matrix multiplication(MICMAC).[Result/conclusion]'The results show that the direct layerfactors,intermediate layer factors and root layer factors in the explanatory structural model have a high degree of a-greement with the independent group factors,autonomous group factors and dependent group factors in the cross ma-trix multiplication,and further proves that the explanatory structure model is feasible for correlation analysis and hier-archical classification of influencing factors.
作者
张艳丰
刘亚丽
邹凯
Zhang Yanfeng;Liu Yali;Zou Kai(School of Public Management,Xiangtan University,Xiangtan 411105)
出处
《图书情报工作》
CSSCI
北大核心
2021年第8期65-73,共9页
Library and Information Service
基金
国家社会科学基金一般项目“大数据环境下智慧城市信息安全困境及应对策略研究”(项目编号:18BTQ055)研究成果之一。
关键词
突发公共卫生事件
社交媒体用户
健康信息焦虑
影响因素
public health emergency
social media users
health information anxiety
influencing factors
