most citedUsing Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications

53 citations · 53 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CY2022★ 53 cited

Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications

Yining Hua, Hang Jiang, Shixu Lin +4

Understanding public discourse on emergency use of unproven therapeutics is crucial for monitoring safe use and combating misinformation. We developed a natural language processing…