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Search: onr:"swepub:oai:lup.lub.lu.se:170ddbb1-5a63-44a1-8a6b-2346ecf18d40" > The Prevalence of m...

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The Prevalence of mRNA Related Discussions during the Post-COVID-19 Era

Kokkinakis, Dimitrios, 1965 (author)
Gothenburg University,University of Gothenburg,Göteborgs universitet,Institutionen för svenska, flerspråkighet och språkteknologi,Department of Swedish, Multilingualism, Language Technology
Bruinsma, Bastiaan (author)
Chalmers University of Technology
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)
Blusi, Madeleine (editor)
Bonacina, Stefano (editor)
Nilsson, Lina (editor)
Madsen, Inge Cort (editor)
Pelayo, Sylvia (editor)
Moen, Anne (editor)
Benis, Arriel (editor)
Lindskold, Lars (editor)
Gallos, Parisis (editor)
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.
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
  • Conference paper (peer-reviewed)
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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