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Adaptive cost-sensitive stance classification model for rumor detection in social networks

As online social networks are experiencing extreme popularity growth, determining the veracity of online statements denoted by rumors automatically as earliest as possible is essential to prevent the harmful effects of propagating misinformation. Early detection of rumors is facilitated by consideri...

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Detalles Bibliográficos
Autores principales: Zojaji, Zahra, Tork Ladani, Behrouz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9461462/
https://www.ncbi.nlm.nih.gov/pubmed/36105920
http://dx.doi.org/10.1007/s13278-022-00952-2