S. J. Uddin, A. Albert, Mahzabin Tamanna, Abdullah Alsharef
{"title":"YouTube as a source of information: early coverage of the COVID-19 pandemic in the context of the construction industry","authors":"S. J. Uddin, A. Albert, Mahzabin Tamanna, Abdullah Alsharef","doi":"10.1080/01446193.2022.2162096","DOIUrl":null,"url":null,"abstract":"Abstract The COVID-19 pandemic has been the largest global crisis in recent decades. Apart from the countless deaths and health emergencies, the pandemic has disrupted several industries—including construction. For example, a significant number of construction projects have been interrupted, delayed, and even abandoned. In such emergencies, information gathering and dissemination are vital for effective crisis management. The role of social media platforms such as YouTube, Facebook, and Twitter, as information sources, in these contexts has received much attention. The purpose of this investigation was to evaluate if YouTube can serve as a useful source of information for the construction industry in emergency situations—such as during the early stages of the COVID-19 pandemic. The assessment was undertaken by distilling the coverage of the COVID-19 pandemic as it relates to the construction industry from the content shared via YouTube by leveraging Latent Dirichlet Allocation (LDA) topic modelling. The investigation also compared the timeline with which relevant content was shared via YouTube and peer-reviewed research articles to make relative assessments. The findings suggest that YouTube offered significant and relevant coverage across six topics that include health and safety challenges, ongoing construction operation updates, workforce-related challenges, industry operations-related guidelines and advocacy, and others. Moreover, compared to the coverage of the COVID-19 pandemic in the research literature, YouTube offered more comprehensive and timely coverage of the pandemic as it relates to the construction industry. Accordingly, industry stakeholders may leverage YouTube as a valuable and largely untapped resource to aid in combating similar emergency situations.","PeriodicalId":51389,"journal":{"name":"Construction Management and Economics","volume":"41 1","pages":"402 - 427"},"PeriodicalIF":3.0000,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Construction Management and Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/01446193.2022.2162096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract The COVID-19 pandemic has been the largest global crisis in recent decades. Apart from the countless deaths and health emergencies, the pandemic has disrupted several industries—including construction. For example, a significant number of construction projects have been interrupted, delayed, and even abandoned. In such emergencies, information gathering and dissemination are vital for effective crisis management. The role of social media platforms such as YouTube, Facebook, and Twitter, as information sources, in these contexts has received much attention. The purpose of this investigation was to evaluate if YouTube can serve as a useful source of information for the construction industry in emergency situations—such as during the early stages of the COVID-19 pandemic. The assessment was undertaken by distilling the coverage of the COVID-19 pandemic as it relates to the construction industry from the content shared via YouTube by leveraging Latent Dirichlet Allocation (LDA) topic modelling. The investigation also compared the timeline with which relevant content was shared via YouTube and peer-reviewed research articles to make relative assessments. The findings suggest that YouTube offered significant and relevant coverage across six topics that include health and safety challenges, ongoing construction operation updates, workforce-related challenges, industry operations-related guidelines and advocacy, and others. Moreover, compared to the coverage of the COVID-19 pandemic in the research literature, YouTube offered more comprehensive and timely coverage of the pandemic as it relates to the construction industry. Accordingly, industry stakeholders may leverage YouTube as a valuable and largely untapped resource to aid in combating similar emergency situations.
期刊介绍:
Construction Management and Economics publishes high-quality original research concerning the management and economics of activity in the construction industry. Our concern is the production of the built environment. We seek to extend the concept of construction beyond on-site production to include a wide range of value-adding activities and involving coalitions of multiple actors, including clients and users, that evolve over time. We embrace the entire range of construction services provided by the architecture/engineering/construction sector, including design, procurement and through-life management. We welcome papers that demonstrate how the range of diverse academic and professional disciplines enable robust and novel theoretical, methodological and/or empirical insights into the world of construction. Ultimately, our aim is to inform and advance academic debates in the various disciplines that converge on the construction sector as a topic of research. While we expect papers to have strong theoretical positioning, we also seek contributions that offer critical, reflexive accounts on practice. Construction Management & Economics now publishes the following article types: -Research Papers -Notes - offering a comment on a previously published paper or report a new idea, empirical finding or approach. -Book Reviews -Letters - terse, scholarly comments on any aspect of interest to our readership. Commentaries -Obituaries - welcome in relation to significant figures in our field.