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.

Researchers found that integrating emotional features, particularly negative emotions, into machine learning models enhances the accuracy of fake news detection on social media platforms. This ...

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 ...

This suggests that a stylistic approach combined with machine learning might be useful in detecting suspicious news. Our fake news detector is built based on linguistic characteristics extracted ...

Now, with $300,000 in funding from the National Science Foundation, the duo is working to build a model that could be used to detect fake news before it hits social media newsfeeds. As part of their ...