Their findings indicate that integrating emotional features, particularly negative emotions, into machine learning ... data significantly improved the accuracy and reliability of fake news detection.

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 ...

One striking observation was that more complex models like CNNs underperformed relative to simpler models. CNNs were ...

Researchers proposed solutions to combat the spread of fake news using a combination of machine learning ... data and algorithms to identify signs of misinformation and enhance the detection ...

Also: To Catch a Fake: Machine learning sniffs out its own machine-written propaganda That's not easy. Schuster and colleagues take CNN news ... fake detection need to be trained on a data set ...

George McIntire: Named after the data visualization analyst, this set of fake news ... machine learning is the process of creating malicious or misinforming content that can slip past detection ...

“We, at the Computational Intelligence and Data Analytics ... automated fake news was on near-horizon. His research on effect-oriented fake news detection using Machine Learning was one among ...

It’s not news that attackers try to influence and skew these recommendation systems by using fake ... Data poisoning or model poisoning attacks involve polluting a machine learning model ...