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COVID-19 Vaccines on TikTok: A Big-Data Analysis of Entangled Discourses
Focusing on social media affordances and China’s social/political context, the present study analyzed the digital communication practices about COVID-19 vaccines on a popular social media platform—TikTok—which is called DouYin in China. Overall, this study identified five major forces partaking in c...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602594/ https://www.ncbi.nlm.nih.gov/pubmed/36293868 http://dx.doi.org/10.3390/ijerph192013287 |
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author | Sun, Shaojing Liu, Zhiyuan Zhai, Yujia Wang, Fan |
author_facet | Sun, Shaojing Liu, Zhiyuan Zhai, Yujia Wang, Fan |
author_sort | Sun, Shaojing |
collection | PubMed |
description | Focusing on social media affordances and China’s social/political context, the present study analyzed the digital communication practices about COVID-19 vaccines on a popular social media platform—TikTok—which is called DouYin in China. Overall, this study identified five major forces partaking in constructing the discourses, with government agencies and state media being the dominant contributors. Furthermore, video posters demonstrated different patterns of utilizing social media affordances (e.g., hashtags) in disseminating their messages. The top hashtags adopted by state media were more representative of international relations and Taiwan; those by government agencies were of updates on pandemic outbreaks; those by individual accounts were of mainstream values and health education; those by commercial media were of celebrities and health education; those by enterprise accounts were of TikTok built-in marketing hashtags. The posted videos elicited both cognitive and affective feedback from online viewers. Implications of the findings were discussed in the context of health communication and global recovery against the backdrop of the COVID-19 pandemic and Chinese culture. |
format | Online Article Text |
id | pubmed-9602594 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96025942022-10-27 COVID-19 Vaccines on TikTok: A Big-Data Analysis of Entangled Discourses Sun, Shaojing Liu, Zhiyuan Zhai, Yujia Wang, Fan Int J Environ Res Public Health Article Focusing on social media affordances and China’s social/political context, the present study analyzed the digital communication practices about COVID-19 vaccines on a popular social media platform—TikTok—which is called DouYin in China. Overall, this study identified five major forces partaking in constructing the discourses, with government agencies and state media being the dominant contributors. Furthermore, video posters demonstrated different patterns of utilizing social media affordances (e.g., hashtags) in disseminating their messages. The top hashtags adopted by state media were more representative of international relations and Taiwan; those by government agencies were of updates on pandemic outbreaks; those by individual accounts were of mainstream values and health education; those by commercial media were of celebrities and health education; those by enterprise accounts were of TikTok built-in marketing hashtags. The posted videos elicited both cognitive and affective feedback from online viewers. Implications of the findings were discussed in the context of health communication and global recovery against the backdrop of the COVID-19 pandemic and Chinese culture. MDPI 2022-10-14 /pmc/articles/PMC9602594/ /pubmed/36293868 http://dx.doi.org/10.3390/ijerph192013287 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sun, Shaojing Liu, Zhiyuan Zhai, Yujia Wang, Fan COVID-19 Vaccines on TikTok: A Big-Data Analysis of Entangled Discourses |
title | COVID-19 Vaccines on TikTok: A Big-Data Analysis of Entangled Discourses |
title_full | COVID-19 Vaccines on TikTok: A Big-Data Analysis of Entangled Discourses |
title_fullStr | COVID-19 Vaccines on TikTok: A Big-Data Analysis of Entangled Discourses |
title_full_unstemmed | COVID-19 Vaccines on TikTok: A Big-Data Analysis of Entangled Discourses |
title_short | COVID-19 Vaccines on TikTok: A Big-Data Analysis of Entangled Discourses |
title_sort | covid-19 vaccines on tiktok: a big-data analysis of entangled discourses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602594/ https://www.ncbi.nlm.nih.gov/pubmed/36293868 http://dx.doi.org/10.3390/ijerph192013287 |
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