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

There is, happily, an "exciting opportunity for defense against neural fake news," they argue: "The best models for generating neural disinformation are also the best models at detecting it." ...

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 ...

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 ...

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

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.