A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media

BACKGROUND: Rumor detection is a popular research topic in natural language processing and data mining. Since the outbreak of COVID-19, related rumors have been widely posted and spread on online social media, which have seriously affected people’s daily lives, national economy, social stability, et...

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Detalles Bibliográficos
Autores principales: Lu, Heng-yang, Fan, Chenyou, Song, Xiaoning, Fang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384041/
https://www.ncbi.nlm.nih.gov/pubmed/34497874
http://dx.doi.org/10.7717/peerj-cs.688

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384041/
https://www.ncbi.nlm.nih.gov/pubmed/34497874
http://dx.doi.org/10.7717/peerj-cs.688

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