Datasets for fake news detection

Motivation

Detecting fake news is a AI complete problem and involves many parameters to be analyzed which are equivalent human intelligence. In order to help researchers tackle the problem, ELISA team has taken a step to collect news dataset from various sources and make it as easily accessible.

Datasets:

• Kaggle

  1. Real or Fake by RalucaChitic
  2. Fake news (InClass prediction Competition)
  3. Getting Real about Fake News by Megan Risdal
  4. Fake News Sample by Guilherme Pontes
  5. Fake News detection by jruvika
  6. FakeNewsNet by Deepak Mahudeswaran
  7. WSDM - Fake News Classification by xuyinjie
  8. Not Fake News by Megan Risdal
  9. Snopes fake legit news by Matteo Mazzola
  10. Fake news dataset by sumanthvrao
  11. Fake news data by Antonis Maronikolakis
  12. Fake news detection dataset by Saivenket Patro
  13. Fake news dataset by Gong Junmin

• Open Sources dataset

  1. Fake News Corpus

• Github Repositories

  1. FakeNewsNet
  2. fakenewsdata1

• Others

  1. Fake News Dataset by George McIntire

Contribution

Feel free to fork this repository and send a pull request.