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

Using this tack, they've demonstrated a new system that uses machine learning ... detect if a news source can be trusted -- meaning that an approach like theirs could be used to help stamp out ...

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 ...

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 ...

“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 ...

Fake news is a complex problem and can span text ... Detecting misinformation can be done by a combination of algorithms, machine-learning models, artificial intelligence, and humans.

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 ...