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 ...

Detecting misinformation Detecting misinformation can be done by a combination of algorithms, machine-learning models and humans. An important question is who is responsible for controlling, if not ...

This research program focuses on the potential of AI, in particular machine learning and natural language processing, to identify fake news stories.

So, a machine learning system such as this one is by no means a magic bullet to the problem of fake or biased news, but it certainly presents us with a valuable tool to help manage the ongoing issue.

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 ...

Bytedance is using this “dual-learning” technique in other ways. It machine translates news from Chinese into English, then has another program to translate that article from English into Chinese to ...

Social media is increasingly used to spread fake news. The same problem can be found on the capital market - criminals spread fake news about companies in order to manipulate share prices ...