[Purpose/significance]By studying the influencing mechanism of dynamic self-disclosure of users in SNSs from configurational perspective, we can expand the overall theoretical explanation of self-disclosure behavior and help build healthy and sustainable information sharing ecology in SNS. [Method/process]Taking private calculus theory as framework, we construct a configurational research model based on deeply analyzing the characteristics of channel and content of dynamic self-disclosure. Taking users in context of WeChat Moments as an example, 294 valid samples were collected through questionnaires. Then we adopt fuzzy set qualitative comparative analysis over the influence of the combination of various factors on dynamic self-disclosure.[Result/conclusion]The result shows that there are five combinations of influence factors that can cause dynamic self-disclosure, and each combination is composed of three kinds of influence factors. Dynamic self-disclosure is not driven by a single perceived benefit. Instead, it is caused by the perception of multiple benefits. Compared with private information risk, people tend to pay more attention to private social risk. Privacy self-efficacy has a strong moderating effect on process of private calculus, while the effect of regulatory focus is weak.