In other words, before it can harm real users. The final stage is after a fake account has gone live. This is when detection gets a lot trickier and where the new machine-learning system ...

Although previous studies examined cognitive biases and the structural aspects of social media that facilitate the spread of fake news, as well as various machine learning techniques for detecting ...

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.

With so much misinformation spreading in social media, Rice University researchers led by computer scientist Anshumali Shrivastava developed a method using machine learning (ML) to prevent the ...

A proposed machine learning ... and improve the detection process. It would also consider user characteristics from people with prior experience or knowledge about fake news to help piece together ...

One of the latest collaborations between artificial intelligence and humans is further evidence of how machines ... Deep learning can help automate some of the steps in fake news detection ...

Fake detection ... news sources could be used to make up misleading articles if a malicious party got hold of the code. How, then, do you tell good from the bad? Also: To Catch a Fake: Machine ...