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Social media privacy management strategies: A SEM analysis of user privacy behaviors

机译：社交媒体隐私管理战略：SEM对用户隐私行为的分析

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摘要

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.
机译：人工智能（AI）广泛用于社交网络作为广告推荐系统，病毒营销和用户情绪检测。但是，像假新闻和隐私泄露这样的事情可能会违反隐私和安全问题。 AI技术也经常用于社交媒体作为主要技术，以防止个人隐私泄漏。本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隐私控制，同时影响隐私问题和客户校准相关因素，并找到了他们的隐私管理和自披露。本研究使用了问卷调查方法来了解用户数据和使用结构方程建模（SEM）来分析各种尺寸的关系。结果表明，通过AI技术了解信息安全意识和客户异化对消费者的隐私问题产生了积极的影响。通过隐私管理，消费者确实可以减少对隐私泄漏的疑虑。客户隐私问题和客户校准分别对隐私管理和自披露具有积极和显着影响。该研究表明，平台中的用户信任将影响用户信息披露程度。该行业应更多地关注用户的隐私维护并建立完整的保护机制。

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