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June 26, 2026Muş Alparslan Üniversitesi Fen Bilimleri DergisiOpen Access

Yapay Zekâ Yöntemleriyle Haber Analizinin ve Sahte Haber Tespitinin Gerçekleştirilmesi

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Authors

MDMiraç Furkan DeğirmencilerSYSercan YalçınMYMuhammed Yıldırım

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Overview

Randomized trial demonstrates effective fake news detection in news articles using a hybrid AI model, indicating strong accuracy.

Key Points

  • The aim is to develop a robust AI system for analyzing news articles and detecting fake news effectively.
  • Developed using hybrid methods based on Long Short-Term Memory and Transformer models.
  • Data collected from BBC and Anadolu Ajansı, pre-processed to ensure quality and consistency.
  • A web interface was created using the Flask framework.
  • Achieved over 90% accuracy in news classification tasks.
  • Performance evaluated using metrics like accuracy, precision, recall, and F1 score.

Cite This Study

Değirmenciler et al. (2026) studied this question.

synapsesocial.com/papers/6a3e1643030ad1a9b309039chttps://doi.org/10.18586/msufbd.1903167
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