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The Politicization of Ivermectin Tweets During the COVID-19 Pandemic

BACKGROUND: We explore the ivermectin discourse and sentiment in the United States with a special focus on political leaning through the social media blogging site Twitter. METHODS: We used sentiment analysis and topic modeling to geospatially explore ivermectin Twitter discourse in the United State...

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Autores principales: Diaz, Marlon I, Hanna, John J, Hughes, Amy E, Lehmann, Christoph U, Medford, Richard J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9290534/
https://www.ncbi.nlm.nih.gov/pubmed/35855004
http://dx.doi.org/10.1093/ofid/ofac263
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author Diaz, Marlon I
Hanna, John J
Hughes, Amy E
Lehmann, Christoph U
Medford, Richard J
author_facet Diaz, Marlon I
Hanna, John J
Hughes, Amy E
Lehmann, Christoph U
Medford, Richard J
author_sort Diaz, Marlon I
collection PubMed
description BACKGROUND: We explore the ivermectin discourse and sentiment in the United States with a special focus on political leaning through the social media blogging site Twitter. METHODS: We used sentiment analysis and topic modeling to geospatially explore ivermectin Twitter discourse in the United States and compared it to the political leaning of a state based on the 2020 presidential election. RESULTS: All modeled topics were associated with a negative sentiment. Tweets originating from democratic leaning states were more likely to be negative. CONCLUSIONS: Real-time analysis of social media content can identify public health concerns and guide timely public health interventions tackling disinformation.
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spelling pubmed-92905342022-07-18 The Politicization of Ivermectin Tweets During the COVID-19 Pandemic Diaz, Marlon I Hanna, John J Hughes, Amy E Lehmann, Christoph U Medford, Richard J Open Forum Infect Dis Brief Report BACKGROUND: We explore the ivermectin discourse and sentiment in the United States with a special focus on political leaning through the social media blogging site Twitter. METHODS: We used sentiment analysis and topic modeling to geospatially explore ivermectin Twitter discourse in the United States and compared it to the political leaning of a state based on the 2020 presidential election. RESULTS: All modeled topics were associated with a negative sentiment. Tweets originating from democratic leaning states were more likely to be negative. CONCLUSIONS: Real-time analysis of social media content can identify public health concerns and guide timely public health interventions tackling disinformation. Oxford University Press 2022-06-06 /pmc/articles/PMC9290534/ /pubmed/35855004 http://dx.doi.org/10.1093/ofid/ofac263 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Brief Report
Diaz, Marlon I
Hanna, John J
Hughes, Amy E
Lehmann, Christoph U
Medford, Richard J
The Politicization of Ivermectin Tweets During the COVID-19 Pandemic
title The Politicization of Ivermectin Tweets During the COVID-19 Pandemic
title_full The Politicization of Ivermectin Tweets During the COVID-19 Pandemic
title_fullStr The Politicization of Ivermectin Tweets During the COVID-19 Pandemic
title_full_unstemmed The Politicization of Ivermectin Tweets During the COVID-19 Pandemic
title_short The Politicization of Ivermectin Tweets During the COVID-19 Pandemic
title_sort politicization of ivermectin tweets during the covid-19 pandemic
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9290534/
https://www.ncbi.nlm.nih.gov/pubmed/35855004
http://dx.doi.org/10.1093/ofid/ofac263
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