TY -的盟Khademi Habibabadi, Sedigheh盟——并不遥远,克里斯汀盟——Bonomo伊冯AU -康威,迈克PY - 2022 DA - 2022/11/16 TI -消费者产生话语大麻医学:范围审查技术乔- J地中海互联网Res SP - e35974六世24 - 11 KW -社会媒体KW -数据挖掘KW -互联网和网络技术KW -消费者产生数据KW -药用大麻KW -医用大麻AB -背景:药用大麻越来越多地被用于治疗各种身心健康状况。社交媒体和基于网络的健康平台提供了宝贵的、实时的和具有成本效益的监测资源，用于收集有关将大麻用于医疗目的的个人的见解。考虑到医用大麻最佳使用的证据仍在不断出现，这一点尤其重要。尽管在网上向消费者销售医用大麻，但目前没有强有力的监管框架来衡量临床健康益处或个人不良事件经历。在之前的一项研究中，我们对包含大麻药用主题的研究进行了系统的范围审查，并使用了来自社交媒体和搜索引擎结果的数据。本研究分析了这些研究的方法学方法和局限性。目的:我们旨在研究使用基于网络的用户生成文本来研究大麻作为药物使用的研究方法和研究方法。方法:检索MEDLINE、Scopus、Web of Science和Embase数据库，检索1974年1月至2022年4月期间的英文主要研究。如果研究的目的是理解基于网络的用户生成的与使用大麻作为药物的健康状况或在与大麻有关的一般对话中提到健康的文本，则将其纳入研究。 Results: We included 42 articles in this review. In these articles, Twitter was used 3 times more than other computer-generated sources, including Reddit, web-based forums, GoFundMe, YouTube, and Google Trends. Analytical methods included sentiment assessment, thematic analysis (manual and automatic), social network analysis, and geographic analysis. Conclusions: This study is the first to review techniques used by research on consumer-generated text for understanding cannabis as a medicine. It is increasingly evident that consumer-generated data offer opportunities for a greater understanding of individual behavior and population health outcomes. However, research using these data has some limitations that include difficulties in establishing sample representativeness and a lack of methodological best practices. To address these limitations, deidentified annotated data sources should be made publicly available, researchers should determine the origins of posts (organizations, bots, power users, or ordinary individuals), and powerful analytical techniques should be used. SN - 1438-8871 UR - //www.mybigtv.com/2022/11/e35974 UR - https://doi.org/10.2196/35974 UR - http://www.ncbi.nlm.nih.gov/pubmed/3638 DO - 10.2196/35974 ID - info:doi/10.2196/35974 ER -