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#Coronavirus on TikTok: user engagement with misinformation as a potential threat to public health behavior

Coronavirus disease (COVID)-related misinformation is prevalent online, including on social media. The purpose of this study was to explore factors associated with user engagement with COVID-related misinformation on the social media platform, TikTok. A sample of TikTok videos associated with the ha...

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Autores principales: Baghdadi, Jonathan D, Coffey, K C, Belcher, Rachael, Frisbie, James, Hassan, Naeemul, Sim, Danielle, Malik, Rena D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949581/
https://www.ncbi.nlm.nih.gov/pubmed/36844368
http://dx.doi.org/10.1093/jamiaopen/ooad013
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author Baghdadi, Jonathan D
Coffey, K C
Belcher, Rachael
Frisbie, James
Hassan, Naeemul
Sim, Danielle
Malik, Rena D
author_facet Baghdadi, Jonathan D
Coffey, K C
Belcher, Rachael
Frisbie, James
Hassan, Naeemul
Sim, Danielle
Malik, Rena D
author_sort Baghdadi, Jonathan D
collection PubMed
description Coronavirus disease (COVID)-related misinformation is prevalent online, including on social media. The purpose of this study was to explore factors associated with user engagement with COVID-related misinformation on the social media platform, TikTok. A sample of TikTok videos associated with the hashtag #coronavirus was downloaded on September 20, 2020. Misinformation was evaluated on a scale (low, medium, and high) using a codebook developed by experts in infectious diseases. Multivariable modeling was used to evaluate factors associated with number of views and presence of user comments indicating intention to change behavior. One hundred and sixty-six TikTok videos were identified and reviewed. Moderate misinformation was present in 36 (22%) videos viewed a median of 6.8 million times (interquartile range [IQR] 3.6–16 million), and high-level misinformation was present in 11 (7%) videos viewed a median of 9.4 million times (IQR 5.1–18 million). After controlling for characteristics and content, videos containing moderate misinformation were less likely to generate a user response indicating intended behavior change. By contrast, videos containing high-level misinformation were less likely to be viewed but demonstrated a nonsignificant trend towards higher engagement among viewers. COVID-related misinformation is less frequently viewed on TikTok but more likely to engage viewers. Public health authorities can combat misinformation on social media by posting informative content of their own.
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spelling pubmed-99495812023-02-24 #Coronavirus on TikTok: user engagement with misinformation as a potential threat to public health behavior Baghdadi, Jonathan D Coffey, K C Belcher, Rachael Frisbie, James Hassan, Naeemul Sim, Danielle Malik, Rena D JAMIA Open Brief Communication Coronavirus disease (COVID)-related misinformation is prevalent online, including on social media. The purpose of this study was to explore factors associated with user engagement with COVID-related misinformation on the social media platform, TikTok. A sample of TikTok videos associated with the hashtag #coronavirus was downloaded on September 20, 2020. Misinformation was evaluated on a scale (low, medium, and high) using a codebook developed by experts in infectious diseases. Multivariable modeling was used to evaluate factors associated with number of views and presence of user comments indicating intention to change behavior. One hundred and sixty-six TikTok videos were identified and reviewed. Moderate misinformation was present in 36 (22%) videos viewed a median of 6.8 million times (interquartile range [IQR] 3.6–16 million), and high-level misinformation was present in 11 (7%) videos viewed a median of 9.4 million times (IQR 5.1–18 million). After controlling for characteristics and content, videos containing moderate misinformation were less likely to generate a user response indicating intended behavior change. By contrast, videos containing high-level misinformation were less likely to be viewed but demonstrated a nonsignificant trend towards higher engagement among viewers. COVID-related misinformation is less frequently viewed on TikTok but more likely to engage viewers. Public health authorities can combat misinformation on social media by posting informative content of their own. Oxford University Press 2023-02-23 /pmc/articles/PMC9949581/ /pubmed/36844368 http://dx.doi.org/10.1093/jamiaopen/ooad013 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Brief Communication
Baghdadi, Jonathan D
Coffey, K C
Belcher, Rachael
Frisbie, James
Hassan, Naeemul
Sim, Danielle
Malik, Rena D
#Coronavirus on TikTok: user engagement with misinformation as a potential threat to public health behavior
title #Coronavirus on TikTok: user engagement with misinformation as a potential threat to public health behavior
title_full #Coronavirus on TikTok: user engagement with misinformation as a potential threat to public health behavior
title_fullStr #Coronavirus on TikTok: user engagement with misinformation as a potential threat to public health behavior
title_full_unstemmed #Coronavirus on TikTok: user engagement with misinformation as a potential threat to public health behavior
title_short #Coronavirus on TikTok: user engagement with misinformation as a potential threat to public health behavior
title_sort #coronavirus on tiktok: user engagement with misinformation as a potential threat to public health behavior
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949581/
https://www.ncbi.nlm.nih.gov/pubmed/36844368
http://dx.doi.org/10.1093/jamiaopen/ooad013
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