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Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis

Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis

Our results confirmed findings from Hua et al [59] that the public concern and polarity for ivermectin and hydroxychloroquine, which received the most social media attention, are highly correlated with emotional and political factors, such as personal political orientation, presidential elections, and conspiracy theories.

Wanxin Li, Yining Hua, Peilin Zhou, Li Zhou, Xin Xu, Jie Yang

J Med Internet Res 2025;27:e63755