A Structural Equation Modeling Approach to Understanding Privacy Concerns Reliability and Self Disclosure on Facebook

The study examines the interplay between privacy concerns, privacy management, self-disclosure, reliability, and the importance of addressing privacy in online social networks, using Facebook as a case study. We provide a detailed structural equation model (SEM) to assess the direct and indirect impacts of privacy-related factors on user behavior. A survey of 500 active Facebook users was conducted online, and the resulting dataset was purified to exclude missing values and issues with insufficient variable loading. The assessment models were assessed for reliability by AVE (average variance extracted), CR (composite reliability), and Cronbach's alpha, while the structural analysis was scrutinized for multicollinearity and outliers. The results demonstrate that data risk substantially influences reliability in self-disclosure, privacy, and Facebook. Reliability significantly influences privacy concerns, self-disclosure, and privacy management on Facebook.