An artificial intelligence course has been launched that includes two projects focused on using AI to detect and combat fake news articles. Students and faculty at West Virginia University aren't ...

Illustration: Marko Aliaksandr (Shutterstock) Fake news is a complex problem and can span text, images and video. For written articles in particular, there are several ways of generating fake news.

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.

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

Binghamton University's School of Management (SOM) has conducted research that proposes solutions to combat the spread of fake news using a combination of machine learning and blockchain technology.

The conundrum of fake news detection, say MIT researchers, is that valid, factually correct writing can come from automatic, machine-generated text, and false information can come from human hands ...

So, a machine learning system such as this one is by no means a magic bullet to the problem of fake or biased news, but it certainly presents us with a valuable tool to help manage the ongoing issue.

Step forward Fabula, which has patented what it dubs a “new class” of machine learning algorithms to detect “fake news” — in the emergent field of “Geometric Deep Learning”; where ...