- 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.
- The team also developed a model to automatically revise texts and potentially suggest edits to related articles. Changes made by the model were rated as accurate as those made by humans, they noted.
- The model is said to improve fact-checking systems worldwide, mitigating social biases that otherwise come as part of AI-powered technologies. It could also save time and effort as compared to manual fact-checking.