The Early Detection of Fraudulent COVID-19 Products From Twitter Chatter: Data Set and Baseline Approach Using Anomaly Detection

BACKGROUND: Social media has served as a lucrative platform for spreading misinformation and for promoting fraudulent products for the treatment, testing, and prevention of COVID-19. This has resulted in the issuance of many warning letters by the US Food and Drug Administration (FDA). While social...

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Detalles Bibliográficos
Autores principales: Sarker, Abeed, Lakamana, Sahithi, Liao, Ruqi, Abbas, Aamir, Yang, Yuan-Chi, Al-Garadi, Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131818/
https://www.ncbi.nlm.nih.gov/pubmed/37113382
http://dx.doi.org/10.2196/43694

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131818/
https://www.ncbi.nlm.nih.gov/pubmed/37113382
http://dx.doi.org/10.2196/43694

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