Mia-Marie Hammarlin
Universitetslektor
The Prevalence of mRNA Related Discussions during the Post-COVID-19 Era
Författare
Redaktör
- Maria Hagglund
- Madeleine Blusi
- Stefano Bonacina
- Lina Nilsson
- Inge Cort Madsen
- Sylvia Pelayo
- Anne Moen
- Arriel Benis
- Lars Lindskold
- Parisis Gallos
Summary, in English
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.
Avdelning/ar
- Medie- och kommunikationsvetenskap
Publiceringsår
2023
Språk
Engelska
Sidor
798-802
Publikation/Tidskrift/Serie
Studies in Health Technology and Informatics
Volym
302
Dokumenttyp
Konferensbidrag
Förlag
IOS Press
Ämne
- Language Technology (Computational Linguistics)
Nyckelord
- event detection
- mRNA vaccines
- natural language processing
- structural topic modeling
- Swedish internet forum
- Swedish tweets
- vaccine hesitancy
Conference name
33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023
Conference date
2023-05-22 - 2023-05-25
Conference place
Gothenburg, Sweden
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 0926-9630
- ISSN: 1879-8365
- ISBN: 9781643683881