Carpenter Kristy A, Nguyen Anna T, Smith Delaney A, Samori Issah A, Humphreys Keith, Lembke Anna, Kiang Mathew V, Eichstaedt Johannes C, Altman Russ B
Department of Biomedical Data Science, Stanford University, Stanford, California, United States of America.
Department of Epidemiology and Population Health, Stanford University, Stanford, California, United States of America.
PLOS Digit Health. 2025 Apr 28;4(4):e0000842. doi: 10.1371/journal.pdig.0000842. eCollection 2025 Apr.
Social media can provide real-time insight into trends in substance use, addiction, and recovery. Prior studies have used platforms such as Reddit and X (formerly Twitter), but evolving policies around data access have threatened these platforms' usability in research. We evaluate the potential of a broad set of platforms to detect emerging trends in the opioid use disorder and overdose epidemic. From these, we identified 11 high-potential platforms, for which we documented policies regulating drug-related discussion, data accessibility, geolocatability, and prior use in opioid-related studies. We quantified their volume of opioid discussion, including in informal language by including slang generated using a large language model. Beyond the most commonly used Reddit and X/Twitter, the platforms with high potential for use in opioid-related surveillance are TikTok, YouTube, and Facebook. Leveraging a variety of social platforms, instead of merely one, yields broader subpopulation representation and safeguards against reduced data access in any single platform.
社交媒体可以提供有关药物使用、成瘾和康复趋势的实时洞察。先前的研究使用过Reddit和X(前身为Twitter)等平台,但围绕数据访问不断变化的政策威胁到了这些平台在研究中的可用性。我们评估了一系列广泛的平台检测阿片类药物使用障碍和过量用药流行中新兴趋势的潜力。从中,我们确定了11个高潜力平台,我们记录了这些平台管理与药物相关讨论、数据可访问性、地理位置可定位性以及先前在阿片类药物相关研究中的使用情况的政策。我们对它们关于阿片类药物讨论的数量进行了量化,包括通过纳入使用大语言模型生成的俚语等非正式语言。除了最常用的Reddit和X/ Twitter之外,在阿片类药物相关监测中具有高使用潜力的平台还有TikTok、YouTube和Facebook。利用多种社交平台,而不是仅仅一个平台,能够产生更广泛的亚人群代表性,并防范任何单个平台数据访问减少的情况。