Hybrid optimization driven fake news detection using reinforced transformer models

Hybrid optimization driven fake news detection using reinforced transformer models

Abstract The large-scale production of multimodal fake news, combining text and images, presents significant detection challenges due to distribution discrepancies. Traditional detectors struggle with open-world scenarios, while Large Vision-Language Models (LVLMs) lack specificity in identifying lo...

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Bibliographic Details
Main Authors: Ganesh Karthik M, Khadri Syed Faizz Ahmad, Sai Geetha Pamidimukkala, Asha Prashant Sathe, Sirisha G.N.V.G, Sitha Ram M, Koteswararao Ch
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Large Vision-Language models
Modified transformer
Hybrid optimization
Fake news detection
Public opinion analysis
Online Access:https://doi.org/10.1038/s41598-025-99936-3
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https://doi.org/10.1038/s41598-025-99936-3

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