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Fearing mRNA: A mixed methods study of vaccine rumours

Mia-Marie Hammarlin, Dimitrios Kokkinakis, Fredrik Miegel, Jullietta Stoencheva

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

The first mass-distributed vaccines based on mRNA technology were launched in 2021 to protect against COVID-19, sparking rumours among vaccine critical individuals that these “new” vaccines might be more dangerous to the health than other, “traditional” vaccines. Drawing on rumour theories and social cognitive perspectives, the aim of this chapter is to account for the purpose and the spreading of medical rumours that encircle mRNA COVID-19 vaccines. We ask: How are rumours concerning mRNA expressed and established? In terms of trust and distrust, what function do the rumours have? We take as our empirical case the fast spreading of a medical journal article written by a group of infectious medicine researchers at Lund University, Sweden, that spawned an already established vaccine rumour, and analyse Swedish-language tweets discussing mRNA vaccines posted between February 10, 2022 and November 10, 2022. Our study follows a mixed methods sequential explanatory design consisting of an initial computational distant reading analysis based on structural topic modeling, followed by a close qualitative reading and thematic analysis of the results. Our analysis shows how mRNA rumours are not primarily based on ignorance, but rather on distrust regarding the officially sanctioned, positive narrative of new vaccine technologies, expressed through what we term counter-scientific argumentation.
Original languageEnglish
Title of host publicationVaccine Hesitancy in the Nordic Countries
Subtitle of host publication Trust and Distrust During the COVID-19 Pandemic
Editors/authorsLars Borin, Mia-Marie Hammarlin, Dimitrios Kokkinakis, Fredrik Miegel
Place of PublicationLondon
PublisherRoutledge
Chapter10
Pages157-184
Number of pages28
ISBN (Electronic)9781003305859
ISBN (Print)9781032305998, 9781032306001
DOIs
Publication statusPublished - 2024 Apr 15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Subject classification (UKÄ)

  • Media and Communication Studies

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