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ANN: adversarial news net for robust fake news classification

Abstract With easy access to social media platforms, spreading fake news has become a growing concern today. Classifying fake news is essential, as it can help prevent its negative impact on individuals and society. In this regard, an end-to-end framework for fake news detection is developed by util...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Shiza Maham, Abdullah Tariq, Muhammad Usman Ghani Khan, Faten S. Alamri, Amjad Rehman, Tanzila Saba
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2024-04-01
Schriftenreihe:Scientific Reports
Schlagworte:
Fake news
Adversarial training
Figurative language
Transformers
FGSM
BERT
Online-Zugang:https://doi.org/10.1038/s41598-024-56567-4
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