中国药业2026，Vol.35Issue(7)：9-17,9.DOI:10.3969/j.issn.1006-4931.2026.07.002
社交媒体药物警戒热点和趋势的CiteSpace分析
Hotspots and Trends of Social Media-Based Pharmacovigilance:A CiteSpace Analysis
摘要
Abstract
Objective To investigate the research status,hotspots,and development trends of social media-based pharmacovigilance,and to provide a reference for the development of social media-based pharmacovigilance in China.Methods Studies related to social media-based pharmacovigilance in the Web of Science Core Collection database were searched from its inception to August 1,2025.CiteSpace 6.4.R2 software was used to visually analyze the annual publication volume,authors,research institutions,countries/regions,keywords,and references of the included studies.Results A total of 256 studies were included,and the overall annual publication volume showed a slow start,rapid growth,and then a trend of fluctuation adjustment.A total of 341 authors were involved,with Lin Hongfei(nine articles)and Bousquet Cedric(nine articles)having the highest publication volume,followed by Sarker Abeed(seven articles),Wang Jian(seven articles),and Yang Zhihao(six articles).A total of 267 research institutions were involved,with Institution National de la Santé et de la Recherche Médicale(Inserm)(12 articles)having the highest publication volume,followed by the Dalian University of Technology(11 articles),Assistance Publique Hôpitaux Paris(APHP,eight articles),and Sorbonne Université(eight articles).A total of 41 countries/regions were involved,with the United States of America(117 articles)having the highest publication volume,followed by China(34 articles)and the United Kingdom(32 articles).Social media-driven pharmacovigilance,intelligent detection and analysis of adverse drug reactions(ADR)/adverse drug events(ADE),natural language processing and drug safety text mining were currently the research hotspots in this field.Artificial intelligence(AI)-driven vaccine adverse reaction monitoring,automated ADR signal detection and extraction technologies,as well as patient-centered real-world evidence and communication were future research trends.The development of social media-based pharmacovigilance research exhibited distinct characteristics of technology-driven advancement and public health demand orientation.The top five most cited papers were published from 2014 and 2017,during which scholars focused on identifying ADR from unstructured social media texts.Conclusion Social media-based pharmacovigilance has gradually evolved from an interdisciplinary field to an indispensable component of the drug safety monitoring system.The National Medical Products Administration,universities and other institutions in China can collaborate with Internet platforms,draw on and develop social media-based pharmacovigilance mining technologies that are in line with national conditions in China,and promote the upgrading of the pharmacovigilance system in China.关键词
药物警戒/社交媒体/药品不良反应/人工智能/可视化分析/自然语言处理Key words
pharmacovigilance/social media/adverse drug reactions/artificial intelligence/visual analysis/natural language processing分类
医药卫生引用本文复制引用
黄乐怡,魏芬芳,李丽敏,吴建茹,刘小瑜,徐梦丹..社交媒体药物警戒热点和趋势的CiteSpace分析[J].中国药业,2026,35(7):9-17,9.基金项目
国家药品监督管理局药物警戒技术研究与评价重点实验室开放课题[2025ywjjkf03] （）
广东省基础与应用基础研究基金项目[2023A1515011495] （）
广东省药品监督管理局科技创新项目[2025TDB27,2024TDB17] （）
广东省深圳市科技计划项目[JCYJ20230807150659006]. （）
