Social representations of COVID-19 vaccines: exploration of user-generated comments via online video sharing during the first year of the pandemic

de Rosa, AS, Fino, E ORCID: https://orcid.org/0000-0002-5095-6014, Holman, AC and Hanna-Khalil, B, 2023. Social representations of COVID-19 vaccines: exploration of user-generated comments via online video sharing during the first year of the pandemic. Journal of Pacific Rim Psychology, 17. ISSN 1834-4909

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Abstract

The current study aimed to explore the public understanding of COVID-19 vaccines and the social representations emerging from a corpus of user-generated comments on YouTube videos posted during the year following the World Health Organization's declaration of the novel coronavirus as pandemic. We used Structural Topic Modelling to process the text and identified a 10-topic solution as the best to represent the corpus of text data. The exploration of the topics showed a complex landscape of social representations underlying a plurality of perspectives, which we interpreted as reflecting different users’ needs to make sense of the unprecedented events. Implications for theory, future research, and intervention for health psychology and policy are discussed.

Item Type:	Journal article
Publication Title:	Journal of Pacific Rim Psychology
Creators:	de Rosa, A.S., Fino, E., Holman, A.C. and Hanna-Khalil, B.
Publisher:	Sage
Date:	2023
Volume:	17
ISSN:	1834-4909
Identifiers:	Number Type 10.1177/18344909221147648 DOI
Rights:	© the author(s) 2023. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Divisions:	Schools > School of Social Sciences
Record created by:	Jonathan Gallacher
Date Added:	13 Apr 2023 15:02
Last Modified:	13 Apr 2023 15:02
URI:	https://irep.ntu.ac.uk/id/eprint/48731

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