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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.
  • Diaz MI; Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas.
  • Hanna JJ; Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas.
  • Hughes AE; Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas.
  • Lehmann CU; Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas.
  • Medford RJ; Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas.
Open Forum Infect Dis ; 9(7): ofac263, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-2005001
ABSTRACT

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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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Open Forum Infect Dis Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Open Forum Infect Dis Year: 2022 Document Type: Article