Effectiveness of privacy assurance mechanisms in users' privacy protection on social networking sites from the perspective of protection motivation theory
作者:
Highlights:
• To study how privacy assurance mechanisms on SNS affect users' privacy preserving actions,
• To investigate the effect of threat emotions such as privacy concerns in regulating the relationships between PMT constructs,
• To explore if SNS users' use of privacy assurance mechanisms will affect risky behavior such as sharing private information.
摘要
Along with recent advancement of web technologies, social networking sites (SNSs) affect peoples lifestyles by enabling them to perform so many activities which were not easy to do before. However, protection of users' disclosed information becomes an important challenge not only for SNS users but also for governing organizations. This study focuses on SNS users' protection from privacy breaches that are made by or facilitated by SNS vendors and explores the effectiveness of privacy assurance mechanisms on SNS users' privacy preserving actions. This study proposes a conceptual model that explains SNS users' privacy protection behavior based on protection motivation theory. An empirical data was collected to validate the proposed research model. The results suggest that users' coping appraisals of the overall SNS assurance mechanisms, along with their threat appraisals, positively relate to their protection motivation. Further, the results confirm that privacy concern mediates the relationship between threat appraisals and coping appraisals. Finally, findings suggest that protective motivation discourages one's engagement in risky behavior (disclosing self on SNS), in addition to undertaking safeguards (customizing privacy settings). Meanwhile, we find that individuals' use of safeguards increases personal engagement in risky behaviors (self-disclosure).
论文关键词:Effectiveness of privacy assurance mechanisms,Privacy customization,Social networking sites,Protection motivation,Privacy concern,Self-disclosure
论文评审过程:Received 28 September 2019, Revised 6 May 2020, Accepted 14 May 2020, Available online 20 May 2020, Version of Record 29 June 2020.
论文官网地址:https://doi.org/10.1016/j.dss.2020.113323