心理健康自我表露如何变得可见：来自Reddit上八种状况的证据

中文摘要 AI 辅助

人们会在社交媒体上分享心理健康诊断信息，但这类语言如何围绕自我表露变得可见，以及社区参与是否会追踪这种表露，在不同状况下仍未得到检验。我们分析了来自Reddit上8种状况的739名用户的89605篇帖子，移除每个用户的诊断表露内容，并将其周围的帖子与该锚点对齐。在表露前的一年里，6种状况的语言可见负担在表露前一个月达到最高，创伤后应激障碍的该负担出现时间更早，而边缘性人格障碍的该负担则离表露时间最远，且该负担在表露后仍保持可见而非消退。“寻求临床解释”这一主题在5种状况下，表露前后的早期到晚期差异最大，但参与度很少追踪用户所写内容：360个语言-参与度相关性中仅有9个在校正后保留。因此，表露是一个可见程度不均的过程中的一个节点，我们为社区实践和平台设计提供启示，这些场景中参与度指标并不反映临床需求。

英文摘要

People share mental health diagnoses on social media, yet how such language becomes visible around their self-disclosure, and whether community engagement tracks it, remain unexamined across conditions. We analyze 89,605 Reddit posts from 739 users across eight conditions, removing each user's diagnosis disclosure and aligning their surrounding posts to that anchor. Within the pre-disclosure year, language-visible burden was highest in the month before disclosure for six conditions, earlier for post-traumatic stress disorder and furthest from it for borderline personality disorder, and remained visible afterward rather than resolving. The theme Seeking Clinical Explanations showed the largest early-to-late difference before disclosure in five conditions, yet engagement rarely tracked what users wrote: only 9 of 360 language--engagement correlations survived correction. Disclosure is therefore a waypoint in an unevenly visible process, and we offer implications for community practice and platform design where engagement metrics do not reflect clinical need.

发表机构

• University of Cincinnati（辛辛那提大学）
• University of Florida（佛罗里达大学）
• Florida International University（佛罗里达国际大学）
• University of South Carolina（南卡罗来纳大学）

机构由 AI 辅助整理，请以论文原文为准。