arXiv — NLP / Computation & Language · · 3 min read

Stigma and Support in Online Sexual Violence Narratives on Reddit

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Computer Science > Computation and Language

arXiv:2608.11433 (cs)
[Submitted on 11 Aug 2026]

Title:Stigma and Support in Online Sexual Violence Narratives on Reddit

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Abstract:Online communities increasingly provide spaces where survivors of sexual violence can share their experiences and seek support. Although prior research has examined stigma and social support separately, less is known about how stigma expressed in survivor narratives relates to the support offered in response. We introduce the SCOPE dataset, linking stigma signals in online survivor narratives to support types in corresponding comment threads. We annotate posts using a multi-dimensional stigma taxonomy, including Experienced, Internalized, Anticipated, and Structural Stigma, and comments using a support taxonomy encompassing Information Support, Emotional Support, Esteem Support, Tangible Assistance, and Group Interaction. Using contextual, linguistic, and emotion analyses, we compare Stigma and No Stigma content and find that Stigma narratives place greater emphasis on internalized distress, whereas No Stigma narratives focus more on interpreting situations and experiences. Internalized Stigma is the most prevalent category, and community responses remain broadly stable across stigma types, with Information and Esteem Support appearing most often. These findings show how stigma shapes survivor narratives and peer responses and have implications for computational modeling, content moderation, and safer online systems.
Comments: 37th ACM Conference on Hypertext (HT '26)
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2608.11433 [cs.CL]
  (or arXiv:2608.11433v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2608.11433
arXiv-issued DOI via DataCite (pending registration)
Related DOI: https://doi.org/10.1145/3800935.3830853
DOI(s) linking to related resources

Submission history

From: Rezvaneh Rezapour [view email]
[v1] Tue, 11 Aug 2026 20:56:01 UTC (758 KB)
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