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 ...

Using machine learning and natural language processing, researchers are developing an algorithm that can distinguish between real and fake news articles that are being increasingly spread on ...

Ultimately, the algorithm will be able to distinguish with confidence between previously unseen real or fake news articles. Fatemeh Torabi Asr , Postdoctoral research fellow, Simon Fraser University ...

False stories are now spreading 10 times faster than real news and the problem of fake news ... news sources. We’re exposed to a wild flow of ... machine-learning algorithm to find ...

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 ...

A University of California, Riverside, computer scientist has received reinforcements in his battle against fake news. Snap Research, the research division of Snap, Inc., has made a $7,000 donation ...

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 ...

Using machine learning and natural language processing, researchers are developing an algorithm that can distinguish between real and fake news articles.