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Social media privacy management strategies: A SEM analysis of user privacy behaviors
Computer Communications ( IF 4.5 ) Pub Date : 2021-04-20 , DOI: 10.1016/j.comcom.2021.04.012
Kuo-Cheng Chung , Chun-Hung Chen , Hsueh-Hsuan Tsai , Ya-Hsueh Chuang

Artificial intelligence (AI) is widely used in social network as AD Recommender Systems, Viral Marketing, and User Sentiment Detection. However, such things as Fake News and Privacy Leaking may violate privacy and security concerns. AI technology is also often used in social media as the main technology to prevent personal privacy from leaking. This study explored whether social media users will disclose information or further protect privacy when facing information privacy issues. It studied information security awareness and perceived privacy control while affecting privacy concerns and customer calibration related factors, and finds their privacy management and self-disclosure. This study used questionnaire survey method to understand user data and used Structural Equation Modeling (SEM) to analyze the relationship of various dimensions. The results showed that understanding information security awareness and customer alienation through AI technology has a positive impact on consumers’ privacy concerns. Through privacy management, consumers can indeed reduce their doubts about privacy leakage. Customer privacy concerns and customer calibration have positive and significant effects on privacy management and self-disclosure, respectively. This study showed that user trust in the platform will affect the degree of user information disclosure. The industry should focus more on the user’s privacy maintenance and establish a complete protection mechanism.



中文翻译:

社交媒体隐私管理策略:用户隐私行为的SEM分析

人工智能(AI)在社交网络中广泛使用,例如AD推荐系统,病毒式营销和用户情感检测。但是,诸如“假新闻”和“隐私泄漏”之类的事情可能会侵犯隐私和安全方面的顾虑。AI技术也经常在社交媒体中用作防止个人隐私泄露的主要技术。这项研究探讨了社交媒体用户在面对信息隐私问题时是否会披露信息或进一步保护隐私。它研究了信息安全意识和感知到的隐私控制,同时影响了隐私问题和与客户校准相关的因素,并发现了它们的隐私管理和自我披露。这项研究使用问卷调查法来了解用户数据,并使用结构方程模型(SEM)来分析各个维度之间的关系。结果表明,通过AI技术了解信息安全意识和客户疏远对消费者的隐私问题有积极的影响。通过隐私管理,消费者确实可以减少对隐私泄漏的怀疑。客户隐私问题和客户校准分别对隐私管理和自我披露产生积极和重大影响。这项研究表明,用户对该平台的信任将影响用户信息披露的程度。行业应更加关注用户的隐私维护并建立完善的保护机制。消费者确实可以减少他们对隐私泄露的怀疑。客户隐私问题和客户校准分别对隐私管理和自我披露产生积极和重大影响。这项研究表明,用户对该平台的信任将影响用户信息披露的程度。行业应更加关注用户的隐私维护并建立完善的保护机制。消费者确实可以减少他们对隐私泄露的怀疑。客户隐私问题和客户校准分别对隐私管理和自我披露产生积极和重大影响。这项研究表明,用户对该平台的信任将影响用户信息披露的程度。行业应更加关注用户的隐私维护并建立完善的保护机制。

更新日期:2021-04-30
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