{"title":"Wash your hands: CDC, WHO, and NHS tweets in the #COVID19 pandemic","authors":"Katherine A Ireland","doi":"10.1016/j.acorp.2024.100094","DOIUrl":null,"url":null,"abstract":"<div><p>This work tracks public health messaging and evidence of stability and change in corpora of the Centers for Disease Control and Prevention (CDC), World Health Organization (WHO), and National Health Service (NHS) official account tweets throughout 2020. Using corpus-based methods, including keyword analysis, major similarities and differences are identified across tweets by each organization over time. Larger macro-level and micro-level discourses and linguistic patterns are revealed, with specific applications relevant to public health and governmental messaging, especially regarding risk and health communication. Findings include the NHS providing the most comprehensive and varied messaging out of each organization, including references to recommended actions, communities and individuals, and information. The WHO focuses predominantly on cases and region-specific information, while the CDC includes a variety of information, with a US-internal focus. Applications include further recommendations for public health communication, including the necessity of diverse linguistic patterns and interactive messaging tactics for governmental organizations.</p></div>","PeriodicalId":72254,"journal":{"name":"Applied Corpus Linguistics","volume":"4 2","pages":"Article 100094"},"PeriodicalIF":0.0000,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Corpus Linguistics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S266679912400011X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This work tracks public health messaging and evidence of stability and change in corpora of the Centers for Disease Control and Prevention (CDC), World Health Organization (WHO), and National Health Service (NHS) official account tweets throughout 2020. Using corpus-based methods, including keyword analysis, major similarities and differences are identified across tweets by each organization over time. Larger macro-level and micro-level discourses and linguistic patterns are revealed, with specific applications relevant to public health and governmental messaging, especially regarding risk and health communication. Findings include the NHS providing the most comprehensive and varied messaging out of each organization, including references to recommended actions, communities and individuals, and information. The WHO focuses predominantly on cases and region-specific information, while the CDC includes a variety of information, with a US-internal focus. Applications include further recommendations for public health communication, including the necessity of diverse linguistic patterns and interactive messaging tactics for governmental organizations.