SA-Bi-LSTM: Self Attention With Bi-Directional LSTM-Based Intelligent Model for Accurate Fake News Detection to Ensured Information Integrity on Social Media Platforms

SA-Bi-LSTM: Self Attention With Bi-Directional LSTM-Based Intelligent Model for Accurate Fake News Detection to Ensured Information Integrity on Social Media Platforms

Detecting fake news is increasingly crucial in the digital age as social platforms and online news outlets amplify the spread of misinformation. This study proposes a novel approach for fake news detection using a Bi-LSTM neural network with an attention mechanism. The Bi-LSTM model’s abi...

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Bibliographic Details
Main Authors: Wang Jian, Jian Ping Li, Muhammad Atif Akbar, Amin Ul Haq, Shakir Khan, Reemiah Muneer Alotaibi, Saad Abdullah Alajlan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Fake news detection
long short-term memory (LSTM)
bid-LSTM
self-attention mechanism
SA-BiLSTM
ISOT dataset
Online Access:https://ieeexplore.ieee.org/document/10483072/

Internet

https://ieeexplore.ieee.org/document/10483072/

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