Multi-label multi-class COVID-19 Arabic Twitter dataset with fine-grained misinformation and situational information annotations

Since the inception of the current COVID-19 pandemic, related misleading information has spread at a remarkable rate on social media, leading to serious implications for individuals and societies. Although COVID-19 looks to be ending for most places after the sharp shock of Omicron, severe new varia...

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Detalles Bibliográficos
Autores principales: Obeidat, Rasha, Gharaibeh, Maram, Abdullah, Malak, Alharahsheh, Yara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Data Mining and Machine Learning
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748819/
https://www.ncbi.nlm.nih.gov/pubmed/36532803
http://dx.doi.org/10.7717/peerj-cs.1151

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748819/
https://www.ncbi.nlm.nih.gov/pubmed/36532803
http://dx.doi.org/10.7717/peerj-cs.1151

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