With misinformation and disinformation proliferating online, many may wish for a simple, reliable, automated “fake news” detection system to easily identify falsehoods from truths.

With so much misinformation spreading in social media, Rice University researchers led by computer scientist Anshumali Shrivastava developed a method using machine learning (ML) to prevent the ...

The technology to date is set out in the ARES-Workshops, with a research paper titled “Architecture of a fake news detection system combining digital watermarking, signal processing, and machine ...

New work from MIT researchers peers under the hood of an automated fake-news detection system, revealing how machine-learning models catch subtle but consistent differences in the language of ...

The system uses statistical methods to analyze writing characteristics, such as words used or more frequently used grammatical classes. These are then fed into a machine learning-based classifier ...

Researchers at the University of Calicut in collaboration with Queen’s University, Belfast, United Kingdom, have developed an emotion cognizant health fake news detection mechanism to curtail ...