A Machine Learning Framework for Automatic Fake News Detection in Indian Tamil News Channels.

Murugesan, Sudhakar; Kaliyamurthie, K. P.

With the development of technology and social media, many people started using the Internet. Today, everyone is creating and sharing content on social media. Before they transfer it to others, no one checks the originality of the content; it is com manually identifies the news content as fake or real manually. Due to this challenge, many people are started sharing fake news purposely to destroy the community, and some political and business purposes are spreading quickly. News channels and online newspapers have challenges in identifying trustworthy news sources. In this research paper, we collected various news articles from Indian news are gathered and will perform preprocessing, feature extraction, classification and prediction are going to be done using Naïve Bayes, Logistic Regression and LSTM. The proposed approach has 35,550 trustworthy news, and 15,450 fake news and TF-IDF techniques are used for the feature extraction. These three proposed algorithms are going to compare and predict the results. The Long Short-Term Memory will detect the accuracy of fake news in the Indian news channel is 99.7%.

INDIA; FAKE news; MACHINE learning

Ingénierie des Systèmes d'Information, 2023, Vol 28, Issue 1, p205

1633-1311

Academic Journal

10.18280/isi.280123