Supervised ensemble learning methods towards automatically filtering Urdu fake news within social media

The popularity of the internet, smartphones, and social networks has contributed to the proliferation of misleading information like fake news and fake reviews on news blogs, online newspapers, and e-commerce applications. Fake news has a worldwide impact and potential to change political scenarios,...

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Detalles Bibliográficos
Autores principales: Akhter, Muhammad Pervez, Zheng, Jiangbin, Afzal, Farkhanda, Lin, Hui, Riaz, Saleem, Mehmood, Atif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Data Mining and Machine Learning
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959660/
https://www.ncbi.nlm.nih.gov/pubmed/33817059
http://dx.doi.org/10.7717/peerj-cs.425

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959660/
https://www.ncbi.nlm.nih.gov/pubmed/33817059
http://dx.doi.org/10.7717/peerj-cs.425

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