Fake News Classification Methodology With Enhanced BERT

News serves as a vital source of information for staying updated on various aspects of life worldwide. However, massive volume of information available on social media platforms makes it challenging to extract meaningful insights. Additionally, dispersion of false information has grown broader, ofte...

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Bibliographic Details
Published in:IEEE Access
Main Authors: Ammar Oad, Muhammad Hamza Farooq, Amna Zafar, Beenish Ayesha Akram, Ruogu Zhou, Feng Dong
Format: Article
Language:English
Published: IEEE 2024-01-01
Subjects:
Bidirectional encoder representations from transformers (BERT)
natural language processing
transformers
fake news classification
gradient boosting classifier
machine learning (ML)
Online Access:https://ieeexplore.ieee.org/document/10742347/

Internet

https://ieeexplore.ieee.org/document/10742347/

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