过载对社交网络疲倦的影响及其用户差异分析

Effects of Overload on Social Network Fatigue and User Difference Analysis

[目的 /意义]从过载视角探讨引起社交网络疲倦的原因,并考虑性别、年龄、群体(工作群体、学生群体)和使用时间的差异,为改善社交网络疲倦现象提供建议。[方法 /过程]通过在线问卷搜集416份数据,利用结构方程模型和t检验进行数据分析。[结果 /结论 ]结果显示,信息过载、社交过载和系统过载显著影响社交网络疲倦,其中信息过载的作用最大,其次是系统过载和社交过载。与此同时,年龄、群体(工作群体、学生群体)在信息过载和系统过载对疲倦的影响上存在差异;性别在社交过载和系统过载对疲倦的影响上存在差异;使用时间在社交过载和系统过载对疲倦的影响上存在差异。

[Purpose/significance] This paper attempts to explore factors influencing social network fatigue, and consider differences of gender, age, group(work group vs. student group) and usage time, so as to provide suggestions to change this phenomenon. [Method/process] A total of 416 social networking site users participated in an online questionnaire survey and further analyzed using SEM and T-test. [Result/conclusion] The results show that, information overload, social overload and system overload significantly affect social network fatigue, where information overload has the greatest effect, followed by system overload and social overload. In addition, age and group(work group vs. student group) have significant differences in the impacts of information overload and system overload on fatigue;gender has significant differences in the impacts of social overload and system overload on fatigue;and usage time has significant differences in the impacts of social overload and system overload on fatigue.