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 ...

Shrivastava noted that researchers have been proposing various methods using machine learning to improve Bloom filters' efficiency since 2017.

Researchers proposed solutions to combat the spread of fake news using a combination of machine learning and blockchain technology.

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

Efforts to detect fake news are not as advanced as they would appear, given that the best practices so far rely on pattern detection that can itself be exploited by malicious actors, according to ...

When researchers working on developing a machine learning-based tool for detecting fake news realized there wasn’t enough data to train their algorithms, they did the only rational thing: They ...

Using machine learning and natural language processing, researchers are developing an algorithm that can distinguish between real and fake news articles.