MIT team builds machine learning model for fact-checking

The model is said to improve fact-checking systems worldwide, mitigating social biases that otherwise come as part of AI-powered technologies

(Subscribe to our Today's Cache newsletter for a quick snapshot of top 5 tech stories. Click to subscribe for free.) A number of artificial intelligence-powered tools today help spot grammatical and factual errors in online books, webpages and news articles. In June 2020, . Now, researchers at the Massachusetts Institute of Technology (MIT) have devised a machine-learning (ML) model that will monitor updates to news articles and suggest edits to irrelevant and unverified information. It uses deep learning to verify edits and updates related texts, the team noted in a study titled ‘Get Your Vitamin C! Robust Fact Verification for Contrastive Evidence’.