分析了2018-2021年Reddit上成千上万条阿片类药物滥用相关提问。
Large-Scale Analysis of Online Questions Related to Opioid Use Disorder on Reddit
- 用Transformer和聚类方法对19个子版块提问进行分类。
- 识别出10大信息需求领域，涵盖治疗、戒断、药物使用等。
- 为公共卫生干预提供数据支持，适合政策与健康技术研究者。
阿片类药物使用障碍（OUD）是影响个人福祉和公共健康的主要问题。由于污名化等原因，人们在社交媒体上形成了康复与支持社区，通过提问分享经验并获取信息。然而，这些社区常缺乏临床验证内容。本文研究了Reddit上与OUD相关的自然语言提问，采用基于Transformer的问答检测结合层次聚类，在19个子版块中识别出6个粗粒度类别和69个细粒度类别。分析覆盖2018至2021年，揭示了用户在阿片类药物滥用议题下的十大信息需求：药物销售、特定药物问题、治疗、用药方式、副作用、戒断反应、生活方式、药物检测、疼痛管理及其他。本工作为理解用户在隐匿环境下提出的问题提供了重要基础，并探讨了基于主题的技术干预与公共卫生减害策略。
原文摘要 · Abstract (English)
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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