Public perception of COVID-19's global health crisis on Twitter until 14 weeks after the outbreak.
Because language represents advanced aspects of human cognition, studying linguistic styles and figurative meaning have proven effective in measuring embodied cognition about the external world. This article defines the most worrisome topics people discussed from Weeks 1 to 14 after the outbreak and...
| Published in: | Digital Scholarship in the Humanities Vol. 36; no. 3; pp. 509 - 525 |
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| Main Authors: | , , |
| Format: | Article |
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Oxford University Press / USA
Sep2021
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=153797189&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 153797189 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Sep2021 vid: 36 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 153797189 10.1093/llc/fqaa037 ppf: 509 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P size: 607KB tig: atl: Public perception of COVID-19's global health crisis on Twitter until 14 weeks after the outbreak. aug: au: Abdo, Muhammad S Alghonaim, Ali S Essam, Bacem A affil: English Language Resource Center, Al-Azhar University , Egypt Department of English Language and Translation, Qassim University , Saudi Arabia Department of Computer Science, Cairo University , Egypt su: COVID-19 pandemic Public opinion World health COVID-19 Word frequency Crisis management Anxiety Microblogs sug: subj: COVID-19 pandemic Public opinion World health COVID-19 Word frequency Crisis management Anxiety Microblogs ab: Because language represents advanced aspects of human cognition, studying linguistic styles and figurative meaning have proven effective in measuring embodied cognition about the external world. This article defines the most worrisome topics people discussed from Weeks 1 to 14 after the outbreak and compares the message delivered by the literal use of words to the figurative use of metaphoric expressions. We bootstrapped representative data from Twitter over 14 weeks since the inception of the outbreak to be analyzed thematically using the Linguistic Inquiry and Word Count (LIWC) 2015 software as well as corpus tools. The MetaNet database, corpus tools, and manual annotation were used to detect expressions that can be linguistically mapped to the formalized list of conceptual metaphors. The most frequently tagged themes included 'the outbreak of the pandemic, its epidemiology, its prophylaxis measures, national and world economies, media', as well as the 'signs and symptoms of COVID-19'. Although LIWC-based analysis showed English-speaking tweeters maintained high levels of analytical thinking, elevated levels of anger, anxiety, and doubtfulness, there were discrepancies and improper conceptualization of the clinical picture of the pandemic. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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