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.
Original language | English (US) |
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Article number | ofac263 |
Journal | Open Forum Infectious Diseases |
Volume | 9 |
Issue number | 7 |
DOIs | |
State | Published - Jul 1 2022 |
Keywords
- disinformation
- ivermectin
- public opinion
- social media
ASJC Scopus subject areas
- Oncology
- Infectious Diseases