About this document
Fake News Detection with Machine Learning by rajankita9450 is a document available to read on EtoBox.
This research paper presents a machine learning and deep learning-based system for detecting fake news, utilizing the WELFake dataset for training and testing. The study compares various algorithms, including Logistic Regression, LSTM, and CNN-BiLSTM, demonstrating that deep learning models outperform traditional methods in accuracy. The proposed system aims to assist news agencies and social media platforms in identifying reliable content and mitigating misinformation.
- Author
- rajankita9450
- Language
- EN