Machine learning isn't effective at identifying fake news

The research was conducted by MIT doctoral student Tal Schuster in two separate studies. While Schuster found that computers are adept and identifying ML-generated text, they have a hard time flagging what's false from what's true. Schuster says the problem lies with the database used to train computers to spot fake news. That database is called Fact Extraction and Verification (FEVER). Schuster found that ML-taught computers struggled to interpret negative statements about a subject even when the computers could easily interpret positive statements.