Fake News Detection

1. Dataset

Kaggle link: https://www.kaggle.com/datasets/saurabhshahane/fake-news-classification

(WELFake) is a dataset of 72,134 news articles with 35,028 real and 37,106 fake news. For this, authors merged four popular news datasets (i.e. Kaggle, McIntire, Reuters, BuzzFeed Political) to prevent over-fitting of classifiers and to provide more text data for better ML training.

Dataset contains four columns: Serial number (starting from 0); Title (about the text news heading); Text (about the news content); and Label (0 = fake and 1 = real).

There are 78098 data entries in csv file out of which only 72134 entries are accessed as per the data frame.

Published in: IEEE Transactions on Computational Social Systems: pp. 1-13 (doi: 10.1109/TCSS.2021.3068519).

1.1 EDA

• Target Label Distribution:

• Word Counts Distribution:

2. Notebooks:

2.1 fake-news-lstm-baseline.ipynb - LSTM baseline

https://www.kaggle.com/code/tmishinev/fake-news-lstm-baseline-97-accuracy

• Classification Report

• Confusion Matrix

2.2 fake-news-keras-bert.ipynb - Keras/BERT implementation

https://www.kaggle.com/code/tmishinev/fake-news-keras-bert/data

• Classification Report

• Confusion Matrix