Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-re...
Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications
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Author / Creator
Hua, Yining , Jiang, Hang , Lin, Shixu , Yang, Jie , Plasek, Joseph M , Bates, David W and Zhou, Li
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Understanding public discourse on emergency use of unproven therapeutics is crucial for monitoring safe use and combating misinformation. We developed a natural language processing-based pipeline to comprehend public perceptions of and stances on coronavirus disease 2019 (COVID-19)-related drugs on Twitter over time. This retrospective study includ...
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Full title
Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2682587710
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2682587710
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2206.14358
