Although previous studies examined cognitive biases and the structural aspects of social media that facilitate the spread of fake news, as well as various machine learning techniques for detecting ...

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 ...

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.

The final stage is after a fake account has gone live. This is when detection gets a lot trickier and where the new machine-learning system, known as Deep Entity Classification (DEC), comes in.

This leads to the question: How can fake news be detected ... Adversarial machine learning is the process of creating malicious or misinforming content that can slip past detection programs.

A proposed machine learning ... and improve the detection process. It would also consider user characteristics from people with prior experience or knowledge about fake news to help piece together ...

When machine learning is applied to natural language processing, it is possible to build text classification ... linguistic characteristics to detect fake news using machine learning and natural ...