Abstract: 【Purpose/significance】The online platform is an important brand content analysis for users to self-disclose relevant health
information.They can understand the stress of facing diseases and provide important information through their own proactive disclosure.【Method/process】Using the 2019-2020 Sina Weibo patients with lung cancer and their family members to post blog posts on Lung Cancer Super Talk and personal Weibo as the data source,the filtered data was encoded,and the encoding results were vectorized and calculated by clustering Obtain different self-disclosure patterns of lung cancer patients and their families.【Result/conclusion】①There are differences between male and female users in disclosing personal information; ②There are differences in different types of information in patients and their families' self-disclosure; ③The modes of self-disclosure of patients and their families:single descrip‐tive self-disclosure and descriptive-evaluative self-disclosure Species; ④Patients and their families have different self-disclosure goals at different stages of cancer development.【Innovation/limitation】Research explores the types,patterns,purposes,and emotional orientations of self-disclosure of health-related information,providing a new perspective for health information behavior research.Lim‐ited by the amount of data,the model induction is only from the content point of view,and the effectiveness needs to be further verified.