摘要
基于CGSS 2017调查数据,利用SPSS 26.0建立有序回归模型,分析社交网络用户的网络素养对其隐私关注和隐私保护自我效能的影响。根据量化分析,得出以下结论:社交网络用户的网龄、上网频次和网络接触行为在一定条件下对隐私关注产生了正向作用,用户的基础网络素养并未被证实对隐私保护自我效能有提升作用。作为深层次的网络素养,用户分析和评价信息的能力在提升隐私保护自我效能上产生了一定程度的正向作用。
Based on CGSS 2017 survey data and using SPSS 26.0 to establish an ordered regression model,this paper analyzes the impact of social network users’network literacy on their privacy concerns and privacy protection self-efficacy.According to the quantitative analysis,the following conclusions are drawn:the online age,online surfing frequency and online contact behavior of social network users have a positive effect on privacy concern under certain conditions,and users’basic network literacy has not been proved to have an improvement effect on privacy protection self-efficacy.As a deep network literacy,users’ability to analyze and evaluate information has a positive effect on improving self-efficacy of privacy protection to a certain extent.
作者
刘鸣筝
孙冬鑫
LIU Mingzheng;SUN Dongrin(School of Journalism and Communication,Jilin University,Changchun 130000,China)
出处
《沈阳大学学报（社会科学版）》
2023年第1期47-54,78,共9页
Journal of Shenyang University:Social Science
基金
吉林省教育科学重点课题(ZD22036)。
关键词
网络素养
社交网络
用户
隐私关注
自我效能
network literacy
social network
users
privacy concern
self-efficacy
