Our Battle against Fake News

The aim of the fake news project is to help news readers to identify bias and misinformation in news articles in a quick and reliable fashion. We have collected news articles with veracity labels from fact-checking websites and used them to train text classification systems to detect fake from real news. You can paste a piece of text and examine its similarity to our collection of true vs. false news articles, or to news from four different types/genre. Enjoy testing!

Fake News Detection


  

Fact Checking
Genre Classification

  

   






News Article Examples


Scrape Fact-checking Websites


  

Entire archive
One page (currently unavailable)

  

www.snopes.com
www.politifact.com
www.emergent.info

  

Get text of the mentioned articles
Apply data cleaning

By pressing the Download button you agree to use the scraped data only for research purposes. Collecting data and downloading can take a few minutes.