社交媒体用户隐私疲劳对隐私保护脱离行为的影响——基于PSM的分析

Xiaojuan Zhang, Xinluan Tian, Yuxin Han
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引用次数: 2

摘要

本文旨在考察社交媒体用户隐私疲劳对隐私保护脱离行为的净效应,有助于解决社交媒体数字化新阶段的用户隐私问题。采用倾向得分匹配(Propensity Score Matching, PSM)方法,对1734个社交媒体用户样本进行数据分析,消除个体特征变量造成的选择性误差,提高变量因果关系的预测精度。他们的研究不仅验证了隐私疲劳与隐私保护脱离行为之间的因果关系,证明了隐私疲劳可以直接导致隐私保护脱离行为,而且揭示了个体特征变量对隐私疲劳对保护脱离行为的影响具有异质性。
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Influence of Privacy Fatigue of Social Media Users on Their Privacy Protection Disengagement Behaviour - A PSM based Analysis
This paper aims to examine the net effect of privacy fatigue of social media users on privacy protection disengagement behaviour, which is helpful to address the users’ privacy issue in the new stage of social media digitalization. Applying the Propensity Score Matching(PSM) methodology, the authors conduct the data analysis of 1,734 samples of social media users and eliminates the selectivity error caused by individual characteristic variables so as to improve the prediction accuracy of variable causality. Their research not only validates the causal relationship between privacy fatigue and privacy protection disengagement, proving that privacy fatigue can directly lead to privacy protection disengagement behaviour but also reveals that the individual characteristic variables have heterogeneous effects on the influence of privacy fatigue on protection disengagement behaviour.
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