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 ...

This suggests that a stylistic approach combined with machine learning might be useful in detecting suspicious news. Our fake news detector is built based on linguistic characteristics extracted ...

The proposed machine learning framework, a division of artificial intelligence (AI), aims to utilize data and algorithms to identify signs of misinformation and enhance the detection process.

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 ...

Algorithms can be useful in detecting fake news, stopping its spread and countering misinformation June 8, 2023 by Laks V.S. Lakshmanan, Professor of Computer Science, University of British Columbia ...

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 ...

Algorithms Could Help Social Media Users Spot Fake News Annemarie Dooling, the director of programming for Vox Media's Racked.com, is an online communities expert who has worked with Salon, AOL ...

The conundrum of fake news detection, say MIT researchers, ... The basic problem is that AI, ... To Catch a Fake: Machine learning sniffs out its own machine-written propaganda.

A sign showing major news organizations along with the words "fake news" is held up as U.S. President Donald Trump speaks at a Make America Great Again rally in Washington, Michigan, on April 28 ...