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For example, Kim et al [19] fine-tuned transformer-based models to automatically classify misinformation related to garlic. Quinn et al [20] analyzed misinformation related to vitamin D and COVID-19 on You Tube. A larger set of studies has focused on COVID-19–related misinformation on social media, in general, for topics such as, for example, vaccines [21-23]. To the best of our knowledge, our approach is the first to attempt to detect fraudulent treatments early.
JMIR Infodemiology 2023;3:e43694
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