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 ...

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

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 ...

Now that people can easily create real-sounding voices with artificial intelligence, detection technologies are racing to catch deepfake audio, but it's a tough game of whack-a-mole.