Fake News Detection using Natural Language Processing, Machine Learning, and Deep Learning Techniques
Sumit Kureel
M. Tech , Dept of CSE, Goel Institute of Technology & Management, (AKTU), Lucknow, India
Dr. Brijesh Pandey
Associate Professor, Dept of CSE, Goel Institute of Technology & Management,(AKTU), Lucknow, India
Dr. Mahima Shankar Pandey
Assistant Professor ,Data Science ,Galgotia College of Engineering & Technology,(AKTU), Greater Noida, India
📌 DOI: https://doi.org/10.63920/tjths.52042
🔑 Keywords: Fake News Detection, Natural Language Processing, Machine Learning, Deep Learning, LSTM, NLP, TF-IDF, Classification
📅 Publication Date: 07 June 2026
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This work is licensed under a Creative Commons Attribution 4.0 International License
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Abstract:
The quick growth of digital communication platforms and social media has caused a spike in misinformation and the need to have robust and efficient automatic solutions to combat fake news. In this paper, detecting fake news through the application of advanced methods within the fields of natural language processing (NLP), machine learning (ML), and deep learning (DL) is investigated. For this purpose, a model is designed incorporating an advanced text preprocessing pipeline including tokenization, stop word elimination, and stemming/lemmatization in addition to the use of TF-IDF vectorization method to generate features. The resultant TF-IDF feature vectors are then processed by a Bidirectional LSTM (Bi-LSTM) model that models the sequence in order to learn contextual relationships from both sides. In order to achieve generalizability in the model, its performance is optimized by tuning its hyperparameters. Experimental results reveal that the achieved classification accuracy is around 98% indicating the ability to distinguish between fake and real news with good precision. It should be mentioned that the specifics of the dataset used, the ratio between the test and training sets, and the specifications of the computer where the model was trained are unknown.
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📖 How to Cite
Sumit K., Brijesh P., and Mahima Shankar P.(2026). Fake News Detection using Natural Language Processing, Machine Learning, and Deep Learning Techniques. TEJAS J. Technol. Humanit. Sci.,, Vol. 05, Issue 02. https://doi.org/10.63920/tjths.52042
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