Fake News Detection‑Classify Articles as Real or Fake Using NLP

N. Bhuvaneswari, K. S. Karthik, S. Naveen, B. Jayaprakash

2025

Abstract

The objective of fake news detection using NLP is to classify news as real or fake. In order to achieve this, a labeled dataset of both accurate and fake news articles is paramount. This text is pre-processed (text cleaning, stop word removal, and normalization). Next, it will be transformed into numerical representations using methods like word embeddings, TF-IDF or Bag-of-Words. In addition, to various machine learning models such as Naive Bayes, SVM, and Logistic Regression, deep learning approaches such as transformers and LSTMs are evaluated to enhance precision. We use standard benchmark datasets to evaluate the performance of the system in distinguishing between real and fake news. This research increases the credibility of digital media as it helps in the automated detection of disinformation.

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Paper Citation


in Harvard Style

Bhuvaneswari N., Karthik K., Naveen S. and Jayaprakash B. (2025). Fake News Detection‑Classify Articles as Real or Fake Using NLP. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 562-567. DOI: 10.5220/0013902000004919


in Bibtex Style

@conference{icrdicct`2525,
author={N. Bhuvaneswari and K. Karthik and S. Naveen and B. Jayaprakash},
title={Fake News Detection‑Classify Articles as Real or Fake Using NLP},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={562-567},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013902000004919},
isbn={978-989-758-777-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Fake News Detection‑Classify Articles as Real or Fake Using NLP
SN - 978-989-758-777-1
AU - Bhuvaneswari N.
AU - Karthik K.
AU - Naveen S.
AU - Jayaprakash B.
PY - 2025
SP - 562
EP - 567
DO - 10.5220/0013902000004919
PB - SciTePress