Basic Info

This repo contains the implementation of a benchmark study on machine learning methods for fake news detection.

Requirements

• Python
• Numpy
• Pandas
• Keras
• tqdm

Materials Used

• Liar Dataset
• Fake-or-real news Dataset
• Combined Corpus

Models Evaluated

• Traditional Machine Learning Models: SVM, LR, Decision Tree, AdaBoost, Naive Bayes, K-NN
• Deep Learning Models: CNN, LSTM, Bi-LSTM, C-LSTM, HAN, Conv-HAN, Char-level C-LSTM
• BERT-based Models: BERT, RoBERTa, DistilBERT

Code

You will find the codes of this project under the 'Codes' directory.