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Breast cancer prevention and treatment misinformation on Twitter: An analysis of two languages

OBJECTIVE: To determine the prevalence and types of misinformation on Twitter related to breast cancer prevention and treatment; and compare the differences between the misinformation in English and Malay tweets. METHODS: A total of 6221 tweets related to breast cancer posted between 2018 and 2022 w...

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Autores principales: Yussof, Izzati, Ab Muin, Nur Fa’izah, Mohd, Masnizah, Hatah, Ernieda, Mohd Tahir, Nor Asyikin, Mohamed Shah, Noraida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559708/
https://www.ncbi.nlm.nih.gov/pubmed/37808244
http://dx.doi.org/10.1177/20552076231205742
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author Yussof, Izzati
Ab Muin, Nur Fa’izah
Mohd, Masnizah
Hatah, Ernieda
Mohd Tahir, Nor Asyikin
Mohamed Shah, Noraida
author_facet Yussof, Izzati
Ab Muin, Nur Fa’izah
Mohd, Masnizah
Hatah, Ernieda
Mohd Tahir, Nor Asyikin
Mohamed Shah, Noraida
author_sort Yussof, Izzati
collection PubMed
description OBJECTIVE: To determine the prevalence and types of misinformation on Twitter related to breast cancer prevention and treatment; and compare the differences between the misinformation in English and Malay tweets. METHODS: A total of 6221 tweets related to breast cancer posted between 2018 and 2022 were collected. An oncologist and two pharmacists coded the tweets to differentiate between true information and misinformation, and to analyse the misinformation content. Binary logistic regression was conducted to identify determinants of misinformation. RESULTS: There were 780 tweets related to breast cancer prevention and treatment, and 456 (58.5%) contain misinformation, with significantly more misinformation in Malay compared to English tweets (OR = 6.18, 95% CI: 3.45–11.07, p < 0.001). Other determinants of misinformation were tweets posted by product sellers and posted before the COVID-19 pandemic. Less misinformation was associated with tweets utilising official/peer-reviewed sources of information compared to tweets without external sources and those that utilised less reliable information sources. The top three most common content of misinformation were food and lifestyle, alternative medicine and supplements, comprising exaggerated claims of anti-cancer properties of traditional and natural-based products. CONCLUSION: Misinformation on breast cancer prevention and treatment is prevalent on social media, with significantly more misinformation in Malay compared to English tweets. Our results highlighted that patients need to be educated on digital health literacy, with emphasis on utilising reliable sources of information and being cautious of any promotional materials that may contain misleading information. More studies need to be conducted in other languages to address the disparity in misinformation.
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spelling pubmed-105597082023-10-08 Breast cancer prevention and treatment misinformation on Twitter: An analysis of two languages Yussof, Izzati Ab Muin, Nur Fa’izah Mohd, Masnizah Hatah, Ernieda Mohd Tahir, Nor Asyikin Mohamed Shah, Noraida Digit Health Original Research OBJECTIVE: To determine the prevalence and types of misinformation on Twitter related to breast cancer prevention and treatment; and compare the differences between the misinformation in English and Malay tweets. METHODS: A total of 6221 tweets related to breast cancer posted between 2018 and 2022 were collected. An oncologist and two pharmacists coded the tweets to differentiate between true information and misinformation, and to analyse the misinformation content. Binary logistic regression was conducted to identify determinants of misinformation. RESULTS: There were 780 tweets related to breast cancer prevention and treatment, and 456 (58.5%) contain misinformation, with significantly more misinformation in Malay compared to English tweets (OR = 6.18, 95% CI: 3.45–11.07, p < 0.001). Other determinants of misinformation were tweets posted by product sellers and posted before the COVID-19 pandemic. Less misinformation was associated with tweets utilising official/peer-reviewed sources of information compared to tweets without external sources and those that utilised less reliable information sources. The top three most common content of misinformation were food and lifestyle, alternative medicine and supplements, comprising exaggerated claims of anti-cancer properties of traditional and natural-based products. CONCLUSION: Misinformation on breast cancer prevention and treatment is prevalent on social media, with significantly more misinformation in Malay compared to English tweets. Our results highlighted that patients need to be educated on digital health literacy, with emphasis on utilising reliable sources of information and being cautious of any promotional materials that may contain misleading information. More studies need to be conducted in other languages to address the disparity in misinformation. SAGE Publications 2023-10-06 /pmc/articles/PMC10559708/ /pubmed/37808244 http://dx.doi.org/10.1177/20552076231205742 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, 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).
spellingShingle Original Research
Yussof, Izzati
Ab Muin, Nur Fa’izah
Mohd, Masnizah
Hatah, Ernieda
Mohd Tahir, Nor Asyikin
Mohamed Shah, Noraida
Breast cancer prevention and treatment misinformation on Twitter: An analysis of two languages
title Breast cancer prevention and treatment misinformation on Twitter: An analysis of two languages
title_full Breast cancer prevention and treatment misinformation on Twitter: An analysis of two languages
title_fullStr Breast cancer prevention and treatment misinformation on Twitter: An analysis of two languages
title_full_unstemmed Breast cancer prevention and treatment misinformation on Twitter: An analysis of two languages
title_short Breast cancer prevention and treatment misinformation on Twitter: An analysis of two languages
title_sort breast cancer prevention and treatment misinformation on twitter: an analysis of two languages
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559708/
https://www.ncbi.nlm.nih.gov/pubmed/37808244
http://dx.doi.org/10.1177/20552076231205742
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