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

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

The language gives it away: How an algorithm can help us detect fake news Researchers are developing an algorithm that can distinguish between real and fake news articles.

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 ...

Fake news is a complex problem and can span text, images and video. For written articles in particular, there are several ways of generating fake news. A fake news article could be produced by ...

The freedom to share and access news online comes with the risk of falling into the trap of so-called fake news, and the development of neural networks and machine learning has only exacerbated the ...

A machine learning system aims to determine if a news outlet is accurate or biased. Lately the fact-checking world has been in a bit of a crisis. Sites like Politifact and Snopes have traditionally ...

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 ...

False news has consistently been growing around us, primarily as clickbait, and often tends to go viral. These are articles and stories created solely to mislead and misinform people into believing ...

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.