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 ...

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

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.

Astroscreen is a startup that uses machine learning and disinformation analysts to detect social media manipulation. It has now secured $1 million in initial funding to progress its technology.

Efforts to detect fake news are not as advanced as they would appear, given that the best practices so far rely on pattern detection that can itself be exploited by malicious actors, according to ...

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

Using machine learning and natural language processing, researchers are developing an algorithm that can distinguish between real and fake news articles.

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 ...

Fraudsters use fake accounts to spread spam, phishing links, or malware. Now Facebook is revealing details on how it uses AI to fight back.