[目的/意义]从组态视角研究社交平台用户动态个人信息披露行为的影响机制，有助于拓展个人信息披露行为的全局性理论解释，对建设健康可持续的社交平台信息分享生态具有积极的指导意义。[方法/过程]以隐私计算理论为框架，本文在深入分析动态个人信息披露渠道和内容特点的基础上构建了组态研究模型。以微信朋友圈用户为研究对象，使用网络问卷收集了294份有效样本，并通过模糊集定性比较分析研究了多种因素的组合对动态个人信息披露的影响。[结果/结论]研究表明，共有5种可导致用户经常披露个人动态信息的影响因素组合，且每种组合都由感知收益、感知风险和用户特征3类影响因素共同组成；动态个人信息披露并不是由单一感知收益因素驱动，而是需要对多种收益的共同感知；相较于隐私信息风险，人们更关注隐私社交风险；隐私保护效能对用户收益风险权衡过程有较强调节影响，而调节定向特征影响较弱。

[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.