Pro-social framing and sentiment in U.S. broadcast networks’ Instagram posts about the COVID-19 vaccine

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dc.contributor.authorRitchart, Amy
dc.contributor.authorBritt, Rebecca
dc.date.accessioned2023-12-26T18:42:16Z
dc.date.available2023-12-26T18:42:16Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.463
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.otherd50dc5ee-39dd-430a-921e-2de86787f697
dc.identifier.urihttps://hdl.handle.net/10125/106846
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectSocia Media and Healthcare Technology
dc.subjectcontent analysis
dc.subjecthealth crises
dc.subjectsentiment analysis
dc.subjectsocial media and health
dc.titlePro-social framing and sentiment in U.S. broadcast networks’ Instagram posts about the COVID-19 vaccine
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractThe study uses health risk frames to conduct 1) a content analysis and 2) a computational sentiment analysis to analyze the framing of the COVID-19 vaccine in Instagram posts by major broadcast news networks during its first year of availability in the United States. The analysis focused on the portrayal of the vaccine as a pro-social solution to the pandemic, with emphasis on the consequences of the pandemic, individual solutions from medical professionals grounded in science, and the vaccine as a preventive measure. Findings from qualitative content analysis (N = 45) included a reduced presence of alarmist, loss, conflict, and economic consequences frames, and the absence of uncertainty,indicating an explanatory framework and support for the vaccine. The computational sentiment analysis (N = 178) revealed a slightly positive and variable sentiment, suggesting an overall affirmative picture of the vaccine in the networks’ Instagram coverage.
dcterms.extent10 pages
prism.startingpage3837

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