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The Prevalence of m...
The Prevalence of mRNA Related Discussions during the Post-COVID-19 Era
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- Kokkinakis, Dimitrios, 1965 (author)
- Gothenburg University,University of Gothenburg,Göteborgs universitet,Institutionen för svenska, flerspråkighet och språkteknologi,Department of Swedish, Multilingualism, Language Technology
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- Bruinsma, Bastiaan (author)
- Chalmers University of Technology
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- Hammarlin, Mia Marie (author)
- Lund University,Lunds universitet,Medie- och kommunikationsvetenskap,Institutionen för kommunikation och medier,Samhällsvetenskapliga institutioner och centrumbildningar,Samhällsvetenskapliga fakulteten,Media and Communication Studies,Department of Communication and Media,Departments of Administrative, Economic and Social Sciences,Faculty of Social Sciences
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Hagglund, Maria (editor)
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Blusi, Madeleine (editor)
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Bonacina, Stefano (editor)
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Nilsson, Lina (editor)
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Madsen, Inge Cort (editor)
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Pelayo, Sylvia (editor)
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Moen, Anne (editor)
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Benis, Arriel (editor)
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Lindskold, Lars (editor)
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Gallos, Parisis (editor)
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- Bruinsma, Sebastianus Cornelis Jacobus, 1991 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- IOS Press, 2023
- 2023
- English 5 s.
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In: Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023. - : IOS Press. - 1879-8365 .- 0926-9630. - 9781643683881 ; 302, s. 798-802
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Abstract
Subject headings
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- Vaccinations are one of the most significant interventions to public health, but vaccine hesitancy and skepticism are raising serious concerns for a portion of the population in many countries, including Sweden. In this study, we use Swedish social media data and structural topic modeling to automatically identify mRNA-vaccine related discussion themes and gain deeper insights into how people's refusal or acceptance of the mRNA technology affects vaccine uptake. Our point of departure is a scientific study published in February 2022, which seems to once again sparked further suspicion and concern and highlight the necessity to focus on issues about the nature and trustworthiness in vaccine safety. Structural topic modelling is a statistical method that facilitates the study of topic prevalence, temporal topic evolution, and topic correlation automatically. Using such a method, our research goal is to identify the current understanding of the mechanisms on how the public perceives the mRNA vaccine in the light of new experimental findings.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Language Technology (hsv//eng)
Keyword
- event detection
- mRNA vaccines
- natural language processing
- structural topic modeling
- Swedish internet forum
- Swedish tweets
- vaccine hesitancy
- Swedish internet forum
Publication and Content Type
- kon (subject category)
- ref (subject category)
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To the university's database
- By the author/editor
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Kokkinakis, Dimi ...
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Bruinsma, Bastia ...
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Hammarlin, Mia M ...
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Hagglund, Maria
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Blusi, Madeleine
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Bonacina, Stefan ...
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show more...
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Nilsson, Lina
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Madsen, Inge Cor ...
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Pelayo, Sylvia
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Moen, Anne
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Benis, Arriel
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Lindskold, Lars
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Gallos, Parisis
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Bruinsma, Sebast ...
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show less...
- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Computer and Inf ...
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and Language Technol ...
- Articles in the publication
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Caring is Sharin ...
- By the university
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Lund University
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Chalmers University of Technology
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University of Gothenburg