An intelligent cybersecurity system for detecting fake news in social media websites

People worldwide suffer from fake news in many life aspects, healthcare, transportation, education, economics, and many others. Therefore, many researchers have considered seeking techniques for automatically detecting fake news in the last decade. The most popular news agencies use e-publishing on...

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Detalles Bibliográficos
Autores principales: Mughaid, Ala, Al-Zu’bi, Shadi, AL Arjan, Ahmed, AL-Amrat, Rula, Alajmi, Rathaa, Zitar, Raed Abu, Abualigah, Laith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Data Analytics and Machine Learning
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021563/
https://www.ncbi.nlm.nih.gov/pubmed/35469124
http://dx.doi.org/10.1007/s00500-022-07080-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021563/
https://www.ncbi.nlm.nih.gov/pubmed/35469124
http://dx.doi.org/10.1007/s00500-022-07080-1

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