Fake News Detection System Using Machine Learning Algorithms

Overview

This work proposes a new approach for detecting fake news in datasets using some of the most widely used algorithms of machine learning.

Dataset used

William Yang Wang's Liar, Fire Liar Pants

Algorithms used

1. Support Vector Machine (SVM)
2. Logistic Regression
3. Naïve Bayes
4. Random Forest

Feature Extractors

1. Count Vectorizer
2. Term Frequency-Inverse Document Frequency (TF-IDF)

Metrics

1. Accuracy
2. Precision
3. Recall
4. F1 Score