Key topics in social science research on COVID-19: An automated literature analysis

IF 2.2 4区医学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Health Information and Libraries Journal Pub Date : 2023-10-30 DOI:10.1111/hir.12508

Xian Cheng PhD, Ying Zhao PhD, Stephen Shaoyi Liao PhD

{"title":"Key topics in social science research on COVID-19: An automated literature analysis","authors":"Xian Cheng PhD, Ying Zhao PhD, Stephen Shaoyi Liao PhD","doi":"10.1111/hir.12508","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Objectives</h3>\n \n <p>This study aims to identify the key topics and explore publishing trends in social science research pertaining to COVID-19 via automated literature analysis.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>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’.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>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.</p>\n </section>\n </div>","PeriodicalId":47580,"journal":{"name":"Health Information and Libraries Journal","volume":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Information and Libraries Journal","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/hir.12508","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}

引用次数: 1

Abstract

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.

查看原文本刊更多论文

新冠肺炎社会科学研究的关键课题：自动化文献分析。

背景：新冠肺炎大流行引发了社会科学领域学术研究的显著增加。因此，科学界越来越需要采取有效和高效的方法来研究社会科学在抗击COVID-19中的潜在作用和贡献。目的：本研究旨在通过自动化文献分析来确定与COVID-19]相关的社会科学研究的关键主题并探索其出版趋势。方法：采用自动化文献分析，利用关键词分析和主题建模技术，特别是潜在狄利克雷分配，突出新冠肺炎社会科学研究领域内最相关的研究术语、总体研究主题和研究趋势。结果：研究重点和主题来源于9733篇全文学术论文。关于新冠肺炎的大部分社会科学研究集中在以下主题上：“临床治疗”、“流行病危机”、“心理影响”、“对学生的影响”、《封锁影响》和“对儿童的影响”。结论：这项研究增加了我们对新冠肺炎社会科学研究关键主题的理解。所提供的自动化文献分析对于热衷于探索社会科学主题在流行病背景下的作用和贡献的图书馆员和信息专家来说尤其有用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Health Information and Libraries Journal INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

6.70

自引率

10.50%

发文量

期刊介绍： Health Information and Libraries Journal (HILJ) provides practitioners, researchers, and students in library and health professions an international and interdisciplinary forum. Its objectives are to encourage discussion and to disseminate developments at the frontiers of information management and libraries. A major focus is communicating practices that are evidence based both in managing information and in supporting health care. The Journal encompasses: - Identifying health information needs and uses - Managing programmes and services in the changing health environment - Information technology and applications in health - Educating and training health information professionals - Outreach to health user groups