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Advancing Visual Health Communication Research to Improve Infodemic Response

Bibliographic Data

ID21617215
AuthorsAndrew J King (0000-0002-2789-2550, Iowa State University, corresponding author), Allison J Lazard (0000-0002-2502-2850, Hussman School of Journalism and Media, University of North Carolina, Chapel Hill)
Year2020
Volume35
Issue14
Pages1723-1728
Publication date2020-12-05
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueHealth Communication (JOURNAL)
Journal identifiersISSN: 1041-0236 • E-ISSN: 1532-7027
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10410236.2020.1838094
PMID33089711
OpenAlexW3094191813
LanguageEN
Citations received21
References cited41

During public health crises like the ongoing novel coronavirus pandemic, there is a need to amplify and improve critical health communication messages. This need is due to pandemics producing infodemic conditions, meaning the public information environment is oversaturated with information of questionable accuracy and utility. The strategic use of visuals can be leveraged to improve the quality of health communication during public health crises and lessen the unintended effects of infodemic conditions. In this essay, we review previous visual communication theorizing and research that provide insights for effective and efficient use of graphical (e.g., data visualizations) and illustrative (e.g., photos, illustrations, and content features) visuals. We also discuss and advocate for more systematic research on visual misinformation and visual narratives, as there are significant gaps in the literature about how people interpret, act on, and engage with these visual content types. More systematic research about these areas of visual health communication research will improve public communication during future public health crises

Computer security · Disease · Health communication · Infographic · Internet privacy · Misinformation · Multimedia · Narrative · Pandemic · Political science · Public health · Public relations · Visual Communication · Computer Science · Digital Storytelling and Education · Media Influence and Health · Medicine · Misinformation and Its Impacts · Nursing · Psychology

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Unique citing works21
Citations per year5,25
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 21
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