Truth be told: a multimodal ensemble approach for enhanced fake news detection in textual and visual media

Truth be told: a multimodal ensemble approach for enhanced fake news detection in textual and visual media

Abstract Fake news detection (FND) has emerged as a pivotal domain within the natural language processing field. The primary goal of FND is to discern and evaluate the veracity of pivotal claims in news articles, thereby determining the credibility of the presented news. Employing FND acts as a safe...

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Bibliographic Details
Main Authors: Rami Mohawesh, Islam Obaidat, Ahmed Abdallah AlQarni, Ali Abdulaziz Aljubailan, Moy’awiah A. Al-Shannaq, Haythem Bany Salameh, Ali Al-Yousef, Ahmad A. Saifan, Suboh M. Alkhushayni, Sumbal Maqsood
Format: Article
Language:English
Published: SpringerOpen 2025-08-01
Series:Journal of Big Data
Subjects:
Fake news
Fake news detection
Large language model
Online Access:https://doi.org/10.1186/s40537-025-01182-x
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