Computer Science

Fake news detection based on a hybrid BERT and LightGBM models

E. Essa, K. Omar, et al.

This research introduces a cutting-edge hybrid fake news detection system that fuses BERT and LightGBM, outperforming traditional methods across diverse datasets. The work showcases the exceptional capabilities of the approach through rigorous comparisons by Ehab Essa, Karima Omar, and Ali Alqahtani.

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Abstract

This paper proposes a novel hybrid fake news detection system combining a BERT-based model with a LightGBM model. The system's performance is compared against four other classification approaches using various word embedding techniques across three real-world datasets. Evaluations using headline-only and full-text news content demonstrate the superior performance of the proposed method compared to state-of-the-art methods.

Publisher

Springer

Published On

May 01, 2023

Authors

Ehab Essa, Karima Omar, Ali Alqahtani

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