Back to matchesWe found a matchYour institution may have access to this item. Find your institution then sign in to continue.TitleThe Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection.AuthorsSarker, Abeed; Lakamana, Sahithi; Liao, Ruqi; Abbas, Aamir; Yuan-Chi Yang; Al-Garadi, MohammedPublicationJMIR Infodemiology, 2023, Vol 3, Issue 1, p1ISSN2564-1891Publication typeArticleDOI10.2196/43694