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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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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. |
format | Online Article Text |
id | pubmed-10559708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
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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