Fake news articles contained significantly higher levels of negative sentiment, including emotions such as fear, anger, ...

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 ...

In fact, a Pew Research Center survey found that 10% of respondents admitted to sharing a news story online that they knew was fake, while 49% had shared news that they later found to be false.

Using AI to make fake news. The biggest challenge, however, of using AI to detect fake news is that it puts technology in an arms race with itself.

Fabula AI is using social spread to spot ‘fake news’ Natural language limitations Naturally Grover is best at detecting its own fake articles, since in a way the agent knows its own processes.

Using AI to make fake news. The biggest challenge, however, of using AI to detect fake news is that it puts technology in an arms race with itself.