Identifying Stigma Phenotypes in Social Media Narratives of Substance Use: Observational Study

These findings provide valuable insights that help inform the design and development of interventions targeted at different stigma phenotypic groups from a social ecological perspective.

Authors

Lexie Chenyue Wang (ORCID: https://orcid.org/0009-0002-9463-0769)
Kenneth C. Pike (ORCID: https://orcid.org/0000-0002-7730-6476)
Annie Chen (ORCID: https://orcid.org/0000-0003-3070-8336)
Mike Conway (ORCID: https://orcid.org/0000-0002-3209-8108)

Institutions

The University of Melbourne (AU)
University of Washington (US)
VA Office of Research and Development (US)
University of Washington Applied Physics Laboratory (US)

Publication Details

Journal: Journal of Medical Internet Research
Published: 2025-11-13
DOI: https://doi.org/10.2196/68695
Primary Topic: Mental Health via Writing
Type: article
Field-Weighted Citation Impact: 0.00

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article

Identifying Stigma Phenotypes in Social Media Narratives of Substance Use: Observational Study

Lexie Chenyue Wang, Kenneth C. Pike, Annie Chen, Mike Conway

Nov 13, 2025

Journal of Medical Internet Research

Mental Health via Writing

article

Identifying Stigma Phenotypes in Social Media Narratives of Substance Use: Observational Study

Lexie Chenyue Wang, Kenneth C. Pike, Annie Chen, Mike Conway

November 13, 2025article en

Abstract

These findings provide valuable insights that help inform the design and development of interventions targeted at different stigma phenotypic groups from a social ecological perspective.

Journal of Medical Internet ResearchVol. 27

The University of Melbourne (AU), University of Washington (US), VA Office of Research and Development (US), University of Washington Applied Physics Laboratory (US)

Openalex Percentile: Top 61%

Mental Health via Writing

DOI Open Access PDF OpenAlex

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Identifying Stigma Phenotypes in Social Media Narratives of Substance Use: Observational Study — Lexie Chenyue Wang, Kenneth C. Pike, et al. · Journal of Medical Internet Research (2025) | TGRS Research Map | TGRS