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A novel approach to fake news classification using LSTM-based deep learning models
Halyna Padalko1,2,3, Vasyl Chomko4, Dmytro Chumachenko1
1Mathematical Modelling and Artificial Intelligence Department, National Aerospace University "Kharkiv Aviation Institute", Kharkiv, Ukraine.
This study introduces advanced deep learning models for fake news detection. An attention-based Bi-LSTM model achieved 97.66% accuracy, offering a robust solution against misinformation.
Area of Science:
- Computer Science
- Artificial Intelligence
- Natural Language Processing
Background:
- The rapid spread of information online has led to a significant increase in fake news.
- Discerning authentic news from fabricated narratives presents a major challenge in the digital age.
- Sophisticated tools are needed for accurate fake news detection and classification on digital platforms.
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