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 ...

Have you ever read something online and shared it among your networks, only to find out it was false? As a software engineer and computational linguist who spends most of her work and even leisure ...

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 ...

Fake news is a problem. This is inarguable. However, exactly how to identify and deal with it is a challenge with no really good solution. Google, Facebook and other tech giants are struggling with ...

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 ...

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

The UOC is leading a project with Japanese and Polish researchers to automatically differentiate between original and fake multimedia content Currently, there are basically two types of tools to ...

In an era of social media manipulation and disinformation, we could sure use some help from innovative entrepreneurs. Social networks are now critical to how the public consumes and shares the news.