Bibliometric analysis of literature on social media trends during the COVID-19 pandemic

IF 3.1 3区管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Online Information Review Pub Date : 2023-12-22 DOI:10.1108/oir-05-2023-0194

Rujing Xin, Yi Jing Lim

{"title":"Bibliometric analysis of literature on social media trends during the COVID-19 pandemic","authors":"Rujing Xin, Yi Jing Lim","doi":"10.1108/oir-05-2023-0194","DOIUrl":null,"url":null,"abstract":"PurposeThis study employs bibliometric analysis to map the research landscape of social media trending topics during the COVID-19 pandemic. The authors aim to offer a comprehensive review of the predominant research organisations and countries, key themes and favoured research methodologies pertinent to this subject.Design/methodology/approachThe authors extracted data on social media trending topics from the Web of Science Core Collection database, spanning from 2009 to 2022. A total of 1,504 publications were subjected to bibliometric analysis, utilising the VOSviewer tool. The study analytical process encompassed co-occurrence, co-authorship, citation analysis, field mapping, bibliographic coupling and co-citation analysis.FindingsInterest in social media research, particularly on trending topics during the COVID-19 pandemic, remains high despite signs of the pandemic stabilising globally. The study predominantly addresses misinformation and public health communication, with notable focus on interactions between governments and the public. Recent studies have concentrated on analysing Twitter user data through text mining, sentiment analysis and topic modelling. The authors also identify key leading organisations, countries and journals that are central to this research area.Originality/valueDiverging from the narrow focus of previous literature reviews on social media, which are often confined to particular fields or sectors, this study offers a broad view of social media's role, emphasising trending topics. The authors demonstrate a significant link between social media trends and public events, such as the COVID-19 pandemic. The paper discusses research priorities that emerged during the pandemic and outlines potential methodologies for future studies, advocating for a greater emphasis on qualitative approaches.Peer reviewThe peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2023-0194.","PeriodicalId":54683,"journal":{"name":"Online Information Review","volume":"10 2","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Online Information Review","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/oir-05-2023-0194","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 0

Abstract

PurposeThis study employs bibliometric analysis to map the research landscape of social media trending topics during the COVID-19 pandemic. The authors aim to offer a comprehensive review of the predominant research organisations and countries, key themes and favoured research methodologies pertinent to this subject.Design/methodology/approachThe authors extracted data on social media trending topics from the Web of Science Core Collection database, spanning from 2009 to 2022. A total of 1,504 publications were subjected to bibliometric analysis, utilising the VOSviewer tool. The study analytical process encompassed co-occurrence, co-authorship, citation analysis, field mapping, bibliographic coupling and co-citation analysis.FindingsInterest in social media research, particularly on trending topics during the COVID-19 pandemic, remains high despite signs of the pandemic stabilising globally. The study predominantly addresses misinformation and public health communication, with notable focus on interactions between governments and the public. Recent studies have concentrated on analysing Twitter user data through text mining, sentiment analysis and topic modelling. The authors also identify key leading organisations, countries and journals that are central to this research area.Originality/valueDiverging from the narrow focus of previous literature reviews on social media, which are often confined to particular fields or sectors, this study offers a broad view of social media's role, emphasising trending topics. The authors demonstrate a significant link between social media trends and public events, such as the COVID-19 pandemic. The paper discusses research priorities that emerged during the pandemic and outlines potential methodologies for future studies, advocating for a greater emphasis on qualitative approaches.Peer reviewThe peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2023-0194.

查看原文本刊更多论文

关于 COVID-19 大流行期间社交媒体趋势的文献计量分析

目的本研究采用文献计量分析法绘制 COVID-19 大流行期间社交媒体热门话题的研究图景。作者旨在全面回顾与这一主题相关的主要研究机构和国家、关键主题和受青睐的研究方法。利用 VOSviewer 工具对总共 1,504 篇出版物进行了文献计量分析。研究分析过程包括共现、合著、引文分析、领域映射、书目耦合和共引分析。研究结果尽管有迹象表明COVID-19疫情在全球范围内趋于稳定，但人们对社交媒体研究，尤其是COVID-19疫情期间的流行话题研究的兴趣依然很高。这项研究主要针对错误信息和公共卫生传播，重点关注政府与公众之间的互动。最近的研究集中于通过文本挖掘、情感分析和主题建模来分析 Twitter 用户数据。作者还指出了对这一研究领域至关重要的主要领导机构、国家和期刊。原创性/价值以往有关社交媒体的文献综述往往局限于特定领域或部门，而本研究则不同，它从广阔的视角看待社交媒体的作用，强调了趋势性话题。作者展示了社交媒体趋势与公共事件（如 COVID-19 大流行病）之间的重要联系。本文讨论了大流行病期间出现的研究重点，并概述了未来研究的潜在方法，提倡更加重视定性方法。同行评审本文的同行评审历史见：https://publons.com/publon/10.1108/OIR-05-2023-0194。

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

Online Information Review 工程技术-计算机：信息系统

CiteScore

6.90

自引率

16.10%

发文量

审稿时长

6 months

期刊介绍： The journal provides a multi-disciplinary forum for scholars from a range of fields, including information studies/iSchools, data studies, internet studies, media and communication studies and information systems. Publishes research on the social, political and ethical aspects of emergent digital information practices and platforms, and welcomes submissions that draw upon critical and socio-technical perspectives in order to address these developments. Welcomes empirical, conceptual and methodological contributions on any topics relevant to the broad field of digital information and communication, however we are particularly interested in receiving submissions that address emerging issues around the below topics. Coverage includes (but is not limited to): •Online communities, social networking and social media, including online political communication; crowdsourcing; positive computing and wellbeing. •The social drivers and implications of emerging data practices, including open data; big data; data journeys and flows; and research data management. •Digital transformations including organisations’ use of information technologies (e.g. Internet of Things and digitisation of user experience) to improve economic and social welfare, health and wellbeing, and protect the environment. •Developments in digital scholarship and the production and use of scholarly content. •Online and digital research methods, including their ethical aspects.