Optimized Novel Text Embedding Approach for Fake News Detection on Twitter X: Integrating Social Context, Temporal Dynamics, and Enhanced Interpretability

Optimized Novel Text Embedding Approach for Fake News Detection on Twitter X: Integrating Social Context, Temporal Dynamics, and Enhanced Interpretability

Abstract In the era of widespread misinformation, detecting fake news has become a crucial challenge, particularly on social media platforms. This paper introduces an optimized approach for Fake News Detection, combining BERT and GloVe embeddings with Principal Component Analysis (PCA) and attention...

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Bibliographic Details
Main Authors: Mahmoud AlJamal, Rabee Alquran, Ayoub Alsarhan, Mohammad Aljaidi, Wafa’ Q. Al-Jamal, Ali Fayez Alkoradees
Format: Article
Language:English
Published: Springer 2025-02-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Text Embedding
Fake News Detection
Twitter X
BERT and GloVe Embeddings
Attention Mechanisms
SHAP and LIME
Online Access:https://doi.org/10.1007/s44196-024-00730-2
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