现代情报2024，Vol.44Issue(2)：130-141,12.DOI:10.3969/j.issn.1008-0821.2024.02.011
CAC范式下在线健康社区用户算法回避行为的影响因素研究
Research on the Formation and Influencing Factors of the Algorithm Avoidance Behavior of Online Health Communities Under the CAC Pattern
杨选辉 1严章宽1
作者信息
- 1. 南昌大学公共政策与管理学院, 江西 南昌 330031
- 折叠
摘要
Abstract
[Purpose/Significance]The aim of this study is to explore the influencing factors and intrinsic mechanisms of online health community users'algorithm avoidance behavior,and to provide countermeasures and suggestions for optimi-zing algorithm service and regulation in online health communities.[Method/process]The study used the Cognition-Affect-Conation pattern as the theoretical framework to build a theoretical model of the factors influencing the algorithm avoidance behavior of online health community users.The study also analyzed and validated the influencing factors through a three-stage SEM-ANN-NCA data analysis method.[Result/Conclusion]At the cognitive level of user engagement in online health communities,privacy concern,perceived intrusiveness,perceived threat,and system function overload positively influence users'algorithm anxiety,and all are necessary conditions for algorithm anxiety.The importance of the four cogni-tive factors for algorithmic anxiety is ranked from highest to lowest in terms of perceived intrusion,privacy concern,system function overload,and perceived threat.At the affective level,algorithm anxiety positively influences algorithm avoidance behavior and it is a necessary condition for algorithm avoidance behavior.关键词
在线健康社区/算法回避/CAC范式/算法焦虑Key words
online health community/algorithm avoidance/CAC pattern/algorithm anxiety分类
社会科学引用本文复制引用
杨选辉,严章宽..CAC范式下在线健康社区用户算法回避行为的影响因素研究[J].现代情报,2024,44(2):130-141,12.
