Deep Learning Approach for Fake News Detection in Sinhala English Mixed Code Language in Social-Media

Abstract

"The primary goal of this research endeavor is to develop a system that can effectively identify fake news written in Romanized Sinhala by utilizing a bi-directional LSTM model. By leveraging deep learning techniques and natural language processing, the project seeks to enhance the precision and effectiveness of detecting deceptive information across various online platforms. While bi-directional LSTM models have demonstrated promising outcomes in various fields, this study focuses on their application specifically to Romanized Sinhala fake news detection. By examining the potential advantages and optimizations of machine learning techniques in this area, the project seeks to contribute to the advancement of reliable information dissemination and combat the proliferation of false information."