Unveiling trauma discourse: narratives, behavior, and support in online communities

Introduction: Post-traumatic stress disorder (PTSD) communities on social media provide spaces for trauma disclosure, peer support, and symptom discussion, yet little is known about how PTSD self-disclosure shapes user behavior and community dynamics. We investigated differences between members who self-disclosed a PTSD diagnosis and those who did not in the Reddit community /r/ptsd. Materials and methods: We conducted a longitudinal mixed-methods analysis of 40,888 posts and 126,554 comments from /r/ptsd (2008–2022). Latent Dirichlet Allocation identified discussion topics. Members were classified as self-disclosing diagnoses (SDDs) or non-disclosing (NDs) using clinically validated phrases. Behavioral analyses compared posting, commenting, and flair usage. Additionally, 2200 SDD posts were manually annotated for trauma type, trauma relationship, and symptom clusters. Results: The most prevalent topics were traumatic experiences, social support, nightmares, and treatment. SDDs posted more frequently than NDs (mean 2.13 vs. 1.28 posts; mean difference, 0.85; 95% CI, 0.78–0.91; Hedges’ g = 0.73) and commented more frequently (mean 4.01 vs. 1.97 comments; mean difference, 2.04; 95% CI, 1.58–2.50; Hedges' g = 0.35). SDD discourse reflected established PTSD symptom clusters, including intrusive thoughts, avoidance, negative mood, and hyperarousal. Findings suggest that /r/ptsd reflects a trauma-sensitive support ecosystem aligned with principles of trauma-informed care. Conclusions: Online PTSD communities provide spaces for trauma disclosure, support, and peer interaction. Self-disclosure was associated with greater engagement and clinically relevant linguistic markers, highlighting the potential of online platforms to complement broader ecologies of care. Findings should be interpreted cautiously, as they rely on self-reported PTSD disclosures from a self-selected online community, limiting causal inference, clinical interpretation, and generalizability.