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 ...

For an AI system detecting fake news, to be super accurate, the hits need to be really high (say 90%) and so the misses will be very low (say 10%), and the false alarms need to stay low (say 10% ...

Fake news has been particularly associated with high-profile events like the 2016 Brexit referendum, the 2016 US presidential election, and the pandemic.