Abstract
Combining data-sharing models and algorithm technologies has led to new data flow structures and usage patterns. In this context, the presentation time of shared low-sensitivity information across platforms has become a crucial factor that affects user perception and privacy-regulation behavior. However, previous studies have not conducted an in-depth exploration of this issue. Based on privacy process theory, this study discusses the impact and potential mechanism of the presentation time (immediate or delayed) of shared low-sensitivity information across platforms on privacy-regulation behavior. Through a pre-study and two online survey experimental studies, which included 379 participants in total, we verified that the immediate information presentation time has a significantly higher impact on online vigilance and privacy-regulation behavior than the delayed condition, β(direct) = 0.5960, 95% CI 0.2402 to 0.9518; β(indirect) = 0.1765, 95% CI 0.0326 to 0.3397, and users' perceived control as the moderating role influences online vigilance and privacy-regulation behaviors (preventive or corrective), β(preventive) = -0.0562, 95% CI -0.1435 to -0.0063; β(corrective) = -0.0581, 95% CI -0.1402 to -0.0065. Based on these results, we suggest that the presentation time of using shared low-sensitivity information across platforms should be concerned by companies' recommendation algorithms to reduce users' negative perceptions and privacy behaviors and improve user experience.