Rice University researchers integrated machine learning to prevent the spread of misinformation online.

In a recent study published in the journal Humanities and Social Sciences Communications, researchers investigated the role of sentiment and emotional features in detecting fake news by comparing ...

Binghamton University's School of Management (SOM) has conducted research that proposes solutions to combat the spread of fake news using a combination of machine learning and blockchain technology.

Currently, there are basically two types of tools to detect fake news. Firstly, there are automatic ones based on machine learning, of which (currently) only a few prototypes are in existence.

A proposed machine learning framework and expanded use of blockchain technology could help counter the spread of fake news by allowing content creators to focus on areas where the misinformation is ...

An artificial intelligence course has been launched that includes two projects focused on using AI to detect and combat fake news articles.

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 ...