Large-Scale Analysis of Online Questions Related to Opioid Use Disorder on Reddit

Opioid use disorder (OUD) is a leading health problem that affects individual well-being as well as general public health. Due to a variety of reasons, including the stigma faced by people using opioids, online communities for recovery and support were formed on different social media platforms. In these communities, people share their experiences and solicit information by asking questions to learn about opioid use and recovery. However, these communities do not always contain clinically verified information. In this paper, we study natural language questions asked in the context of OUD-related discourse on Reddit. We adopt transformer-based question detection along with hierarchical clustering across 19 subreddits to identify six coarse-grained categories and 69 fine-grained categories of OUD-related questions. Our analysis uncovers ten areas of information seeking from Reddit users in the context of OUD: drug sales, specific drug-related questions, OUD treatment, drug uses, side effects, withdrawal, lifestyle, drug testing, pain management and others, during the study period of 2018-2021. Our work provides a major step in improving the understanding of OUD-related questions people ask unobtrusively on Reddit. We finally discuss technological interventions and public health harm reduction techniques based on the topics of these questions.

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Publication Details

Journal
Proceedings of the International AAAI Conference on Web and Social Media
Published
2025-06-07
DOI
https://doi.org/10.1609/icwsm.v19i1.35861
Citations
1
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
2.48
Controls
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article

Large-Scale Analysis of Online Questions Related to Opioid Use Disorder on Reddit

Tanmay Laud, Akadia Kacha-Ochana, Steven A. Sumner, Lyna Z. Schieber et al.
1 citations
Proceedings of the International AAAI Conference on Web and Social Media
Sentiment Analysis and Opinion Mining
2.48
article

Large-Scale Analysis of Online Questions Related to Opioid Use Disorder on Reddit

Tanmay Laud, Akadia Kacha-Ochana, Steven A. Sumner, Lyna Z. Schieber, Vikram Krishnasamy, Royal Law, Munmun De Choudhury, Mai ElSherif
article en
1 citations

Abstract

Opioid use disorder (OUD) is a leading health problem that affects individual well-being as well as general public health. Due to a variety of reasons, including the stigma faced by people using opioids, online communities for recovery and support were formed on different social media platforms. In these communities, people share their experiences and solicit information by asking questions to learn about opioid use and recovery. However, these communities do not always contain clinically verified information. In this paper, we study natural language questions asked in the context of OUD-related discourse on Reddit. We adopt transformer-based question detection along with hierarchical clustering across 19 subreddits to identify six coarse-grained categories and 69 fine-grained categories of OUD-related questions. Our analysis uncovers ten areas of information seeking from Reddit users in the context of OUD: drug sales, specific drug-related questions, OUD treatment, drug uses, side effects, withdrawal, lifestyle, drug testing, pain management and others, during the study period of 2018-2021. Our work provides a major step in improving the understanding of OUD-related questions people ask unobtrusively on Reddit. We finally discuss technological interventions and public health harm reduction techniques based on the topics of these questions.

Proceedings of the International AAAI Conference on Web and Social MediaVol. 19
Centers for Disease Control and Prevention (US), Georgia Institute of Technology (US), UC San Diego Health System (US), National Center for Injury Prevention and Control (US), Hispanics in Philanthropy (US), Hippocration General Hospital (GR), Universidad del Noreste (MX)
Openalex Percentile: Top 10%
Sentiment Analysis and Opinion Mining
2.48
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