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

False stories are now spreading 10 times faster than real news and the problem of fake news ... Our research identifies linguistic characteristics to detect fake news using machine learning and ...

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 ...

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.

"If your false-positive rate is as low as 0.1%, even then you are mistakenly flagging 10 tweets per second, or more than 800,000 per day, for manual review," said Shrivastava adding that this is ...

Machine learning, blockchain technology could help counter spread of fake news Date: August 1, 2023 Source: Binghamton University Summary: A proposed machine learning framework and expanded use of ...

That approach to detecting fake news has come to be referred to as the "provenance" approach, meaning it tells fake from real by looking at where the generation of words comes from, human or machine.