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Twitter Usage Among Physicians From 2016 to 2020: Algorithm Development and Longitudinal Analysis Study
BACKGROUND: Physicians are increasingly using Twitter as a channel for communicating with colleagues and the public. Identifying physicians on Twitter is difficult due to the varied and imprecise ways that people self-identify themselves on the social media platform. This is the first study to descr...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490540/ https://www.ncbi.nlm.nih.gov/pubmed/36066939 http://dx.doi.org/10.2196/37752 |
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author | Nakagawa, Keisuke Yang, Nuen Tsang Wilson, Machelle Yellowlees, Peter |
author_facet | Nakagawa, Keisuke Yang, Nuen Tsang Wilson, Machelle Yellowlees, Peter |
author_sort | Nakagawa, Keisuke |
collection | PubMed |
description | BACKGROUND: Physicians are increasingly using Twitter as a channel for communicating with colleagues and the public. Identifying physicians on Twitter is difficult due to the varied and imprecise ways that people self-identify themselves on the social media platform. This is the first study to describe a reliable, repeatable methodology for identifying physicians on Twitter. By using this approach, we characterized the longitudinal activity of US physicians on Twitter. OBJECTIVE: We aimed to develop a reliable and repeatable methodology for identifying US physicians on Twitter and to characterize their activity on Twitter over 5 years by activity, tweeted topic, and account type. METHODS: In this study, 5 years of Twitter data (2016-2020) were mined for physician accounts. US physicians on Twitter were identified by using a custom-built algorithm to screen for physician identifiers in the Twitter handles, user profiles, and tweeted content. The number of tweets by physician accounts from the 5-year period were counted and analyzed. The top 100 hashtags were identified, categorized into topics, and analyzed. RESULTS: Approximately 1 trillion tweets were mined to identify 6,399,146 (<0.001%) tweets originating from 39,084 US physician accounts. Over the 5-year period, the number of US physicians tweeting more than doubled (ie, increased by 112%). Across all 5 years, the most popular themes were general health, medical education, and mental health, and in specific years, the number of tweets related to elections (2016 and 2020), Black Lives Matter (2020), and COVID-19 (2020) increased. CONCLUSIONS: Twitter has become an increasingly popular social media platform for US physicians over the past 5 years, and their use of Twitter has evolved to cover a broad range of topics, including science, politics, social activism, and COVID-19. We have developed an accurate, repeatable methodology for identifying US physicians on Twitter and have characterized their activity. |
format | Online Article Text |
id | pubmed-9490540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-94905402022-09-22 Twitter Usage Among Physicians From 2016 to 2020: Algorithm Development and Longitudinal Analysis Study Nakagawa, Keisuke Yang, Nuen Tsang Wilson, Machelle Yellowlees, Peter J Med Internet Res Original Paper BACKGROUND: Physicians are increasingly using Twitter as a channel for communicating with colleagues and the public. Identifying physicians on Twitter is difficult due to the varied and imprecise ways that people self-identify themselves on the social media platform. This is the first study to describe a reliable, repeatable methodology for identifying physicians on Twitter. By using this approach, we characterized the longitudinal activity of US physicians on Twitter. OBJECTIVE: We aimed to develop a reliable and repeatable methodology for identifying US physicians on Twitter and to characterize their activity on Twitter over 5 years by activity, tweeted topic, and account type. METHODS: In this study, 5 years of Twitter data (2016-2020) were mined for physician accounts. US physicians on Twitter were identified by using a custom-built algorithm to screen for physician identifiers in the Twitter handles, user profiles, and tweeted content. The number of tweets by physician accounts from the 5-year period were counted and analyzed. The top 100 hashtags were identified, categorized into topics, and analyzed. RESULTS: Approximately 1 trillion tweets were mined to identify 6,399,146 (<0.001%) tweets originating from 39,084 US physician accounts. Over the 5-year period, the number of US physicians tweeting more than doubled (ie, increased by 112%). Across all 5 years, the most popular themes were general health, medical education, and mental health, and in specific years, the number of tweets related to elections (2016 and 2020), Black Lives Matter (2020), and COVID-19 (2020) increased. CONCLUSIONS: Twitter has become an increasingly popular social media platform for US physicians over the past 5 years, and their use of Twitter has evolved to cover a broad range of topics, including science, politics, social activism, and COVID-19. We have developed an accurate, repeatable methodology for identifying US physicians on Twitter and have characterized their activity. JMIR Publications 2022-09-06 /pmc/articles/PMC9490540/ /pubmed/36066939 http://dx.doi.org/10.2196/37752 Text en ©Keisuke Nakagawa, Nuen Tsang Yang, Machelle Wilson, Peter Yellowlees. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 06.09.2022. 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 use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Nakagawa, Keisuke Yang, Nuen Tsang Wilson, Machelle Yellowlees, Peter Twitter Usage Among Physicians From 2016 to 2020: Algorithm Development and Longitudinal Analysis Study |
title | Twitter Usage Among Physicians From 2016 to 2020: Algorithm Development and Longitudinal Analysis Study |
title_full | Twitter Usage Among Physicians From 2016 to 2020: Algorithm Development and Longitudinal Analysis Study |
title_fullStr | Twitter Usage Among Physicians From 2016 to 2020: Algorithm Development and Longitudinal Analysis Study |
title_full_unstemmed | Twitter Usage Among Physicians From 2016 to 2020: Algorithm Development and Longitudinal Analysis Study |
title_short | Twitter Usage Among Physicians From 2016 to 2020: Algorithm Development and Longitudinal Analysis Study |
title_sort | twitter usage among physicians from 2016 to 2020: algorithm development and longitudinal analysis study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490540/ https://www.ncbi.nlm.nih.gov/pubmed/36066939 http://dx.doi.org/10.2196/37752 |
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