Machine learning-based models, especially natural language processing, are becoming more sophisticated and effective in detecting fake news ...

A machine learning system aims to determine if a news outlet is accurate or biased.

Detecting fake news, at its source Date: October 5, 2018 Source: Massachusetts Institute of Technology, CSAIL Summary: A machine learning system aims to determine if a news outlet is accurate or ...

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 ...

Detecting misinformation Detecting misinformation can be done by a combination of algorithms, machine-learning models, artificial intelligence, and humans.

Spotting fake news Our research identifies linguistic characteristics to detect fake news using machine learning and natural language processing technology.

Bespoke fraud ML models are powered by algorithms that learn from historical data, picking up on behaviors and characteristics commonly associated with fraud.