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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Detalles Bibliográficos
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:
Brief Report
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
Descripción
Sumario: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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