Researchers proposed solutions to combat the spread of fake news using a combination of machine learning and blockchain technology.

Rice University researchers integrated machine learning to prevent the spread of misinformation online.

Researchers found that integrating emotional features, particularly negative emotions, into machine learning models enhances the accuracy of fake news detection on social media platforms. This ...

When researchers working on developing a machine learning-based tool for detecting fake news realized there wasn’t enough data to train their algorithms, they did the only rational thing: They ...

An artificial intelligence course has been launched that includes two projects focused on using AI to detect and combat fake news articles.

A proposed machine learning framework and expanded use of blockchain technology could help counter the spread of fake news by allowing content creators to focus on areas where the misinformation ...

Machine-learning project takes aim at disinformation Building a better internet means stopping propaganda and fake news before it spreads, says language processing expert Preslav Nakov.