算法意识对社交媒体用户自我隐瞒行为的影响机制研究  

Research on the Influencing Mechanism of Algorithm Awareness on Self-concealment Behavior of Social Media Users

作　　者：孟玺[1] Meng Xi(School of National Security,People s Public Security University of China,Beijing 100038,China)

机构地区：[1]中国人民公安大学国家安全学院,北京100038

出　　处：《现代情报》2024年第11期52-66,共15页Journal of Modern Information

基　　金：中国人民公安大学国家安全技术双一流创新研究专项(项目编号:2023SYL20)。

摘　　要：[目的/意义]探索社交媒体用户的算法意识对其自我隐瞒行为的影响机制,有助于完善我国多元共治的算法治理体系,并从理论上为社交媒体用户隐私管理提供参考依据。[方法/过程]基于隐私计算理论(Privacy Calculus Theory),探究算法意识对社交媒体用户自我隐瞒行为的影响机制,并考虑了平台信任的调节作用。通过收集730名社交媒体用户的调研问卷,综合运用结构方程模型和Bootstrap方法进行实证研究。[结果/结论]结果表明,算法意识对隐私关注、感知收益、隐私风险信念、自我隐瞒均具有显著的正向影响作用;感知收益对隐私风险信念无显著影响;隐私风险信念在算法意识与自我隐瞒之间存在部分中介作用,隐私关注和隐私风险信念在算法意识与自我隐瞒之间具有链式中介作用;平台信任负向调节算法意识对自我隐瞒的关系。[Purpose/Significance]The study aims to explore the influencing mechanism of social media users algorithm awareness on their self-concealment behavior,which is helpful to improve the multi-governance system of algorithm governance in China,and provide a theoretical reference for the privacy management of social media users.[Methods/Process]Based on Privacy Calculus Theory,this paper explored the influencing mechanism of algorithm awareness on social media users self-concealment behavior,and considered the moderating effect of platform trust.By collecting questionnaires from 730 social media users,the empirical study was conducted by using structural equation model and Bootstrap method.[Results/Conclusion]The results show that algorithm awareness has significant positive effects on privacy concerns,perceived benefits,privacy risk belief and self-concealment.Perceived benefit has no significant effect on privacy risk belief.Privacy risk belief has a partial mediating effect between algorithm awareness and self-concealment.Privacy concern and privacy risk belief have a chain mediating effect between algorithm awareness and self-concealment.Platform trust negatively regulates the relationship between algorithm awareness and self-concealment.

关 键 词：算法意识 隐私关注 隐私风险信念 感知收益 自我隐瞒 平台信任 隐私计算理论 

分 类 号：G252.0[文化科学—图书馆学]