半岛电竞

半岛电竞| ENGLISH| 联系我们

学术动态

半岛电竞

您现在的位置: 学院首页 > 学术动态 > 正文

半岛电竞

半岛电竞:期刊论文|程贤,赵英等,Key topics in social science research on COVID-19: An automated literature analysis,Health information and libraries journal,October 2023

发布时间:2024-01-23

摘要:[Background] The COVID‐19 pandemic has triggered a significant increase in academic research in the realm of social sciences. As such, there is an increasing need for the scientific community to adopt effective and efficient methods to examine the potential role and contribution of social sciences in the fight against COVID‐19. [Objectives] This study aims to identify the key topics and explore publishing trends in social science research pertaining to COVID‐19 via automated literature analysis. [Methods] The automated literature analysis employed utilizes keyword analysis and topic modelling technique, specifically Latent Dirichlet Allocation, to highlight the most relevant research terms, overarching research themes and research trends within the realm of social science research on COVID‐19. [Results] The focus of research and topics were derived from 9733 full‐text academic papers. The bulk of social science research on COVID‐19 centres on the following themes:‘Clinical Treatment’,‘Epidemic Crisis’,‘Mental Influence’,‘Impact on Students’,‘Lockdown Influence’and‘Impact on Children’. [Conclusion] This study adds to our understanding of key topics in social science research on COVID‐19. The automated literature analysis presented is particularly useful for librarians and information specialists keen to explore the role and contributions of social science topics in the context of pandemics.

关键词:Artificial Intelligence (Al); bibliometrics; pandemic; review; literature; social sciences

【本文通讯作者赵英为半岛电竞教授,博士生导师。主要研究方向为信息管理、信息系统、信息无障碍、智慧医养、信息用户行为研究等。

领导邮箱

书记信箱地址:hanjie@scu.edu.cn

院长信箱地址:xia6677@163.com

提示:请将您的宝贵意见或建议用常用邮箱发送。

川大半岛电竞二维码

川大半岛电竞 (scu-ggglxy)

提示:扫描二维码关注半岛电竞官方微信公众号

半岛电竞官方下载 - IOS/安卓兼容版APP