The present study aims to explore the relationship between information disclosure and social support among depressed patients on social media, and further investigate the impacts of communication index, negative emotion index, and the proportion of first-person singular pronouns on social support. Through linear regression analysis of 1040 Weibo data, the study finds that the overall model is significant and can explain about 15% of the variation in social support. Personal information disclosure and communication index are positively correlated with social support, while negative emotion index is negatively correlated with social support. Although the proportion of first-person singular pronouns is negatively correlated with social support, its impact is relatively small. These results suggest that on social media, depressed patients can obtain more social support through moderate disclosure of personal information and effective communication, while the expression of negative emotions may reduce social support. The study also finds that there may be complex interactions among variables that jointly affect the acquisition of social support. These findings provide valuable references and suggestions for the use of social media by depressed patients, emphasizing the importance of focusing on information disclosure, communication styles, and emotional expression when seeking social support. Meanwhile, the research results also imply that encouraging moderate information disclosure and effective communication may help improve the level of social support for depressed patients, provided that patient privacy and safety are protected. In addition, future research can further optimize the measurement methods of relevant indicators and deeply explore the interaction mechanisms among variables, in order to provide more precise and effective guidance for social media intervention among depressed patients.