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Mia-Marie Hammarlin

Mia-Marie Hammarlin

Universitetslektor

Mia-Marie Hammarlin

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

Författare

  • Dimitrios Kokkinakis
  • Bastiaan Bruinsma
  • Mia Marie Hammarlin

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: 1879-8365
  • ISSN: 0926-9630
  • ISBN: 9781643683881