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TA-BiLSTM: An Interpretable Topic-Aware Model for Misleading Information Detection in Mobile Social Networks

As essential information acquisition tools in our lives, mobile social networks have brought us great convenience for communication. However, misleading information such as spam emails, clickbait links, and false health information appears everywhere in mobile social networks. Prior studies have ado...

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Detalles Bibliográficos
Autores principales: Chang, Shuyu, Wang, Rui, Huang, Haiping, Luo, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577966/
http://dx.doi.org/10.1007/s11036-021-01847-w