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Surviving covid-19

A multimodal discourse analysis of new media covid-19 vaccination-related pictorials

Bibliographic Data

ID13032643
AuthorsOluwayemisi Olusola Adebomi (0000-0003-1636-5488, Federal University of Technology, corresponding author)
Year2024
Volume10
Issue2
Pages290-315
Publication date2024-01-20
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguage and Semiotic Studies (JOURNAL)
Journal identifiersISSN: 2096-031X • E-ISSN: 2751-7160
PublisherWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/lass-2023-0035
OpenAlexW4391055653
LanguageEN
Citations received5
References cited28

This paper explores the communicative acts deployed in covid-19 vaccination-related pictorials circulated on digital media platforms. Seven internet images were purposively sampled with a view to exploring their communicative functions as well as their generic structure. The data, which were culled from the websites of the World Health Organisation, Centre for Disease Control, Pan American Health Organisation and Facebook, were subjected to qualitative analysis. The study deployed van Leeuwen’s Multimodal Discourse Analysis and Yuen’s Generic Structure Potential as theoretical anchor. The multimodal communicative acts are deployed for instructive, illustrative, informative, persuasive, inviting and advisory purposes. Categories such as Lead, Emblem, Announcement and Enhancer are compulsory in the data while Display, Tag and Call-and-Visit Information are non-compulsory elements. This can be catalogued as: ‘Lead^(Display)^Emblem^(Announcement)^(Enhancer)^(Tag)^(Call-and-Visit Information)’. The study contends that the various semiotic resources deployed in the internet-circulated covid-19 images are used not only for informative and other communicative purposes but also to evoke attitudinal change towards and encourage widespread acceptance of the covid-19 vaccines

Art · Coronavirus disease 2019 (COVID-19 · Disease · Emblem · Internet privacy · Linguistics · Multimodality · Semiotics · Sociology · The Internet · Visual arts · World Wide Web · Computer Science · Hate Speech and Cyberbullying Detection · Medicine · Misinformation and Its Impacts · Psychology · Vaccine Coverage and Hesitancy

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Unique citing works5
Citations per year5
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 5

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