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

Penn State professors Dongwon Lee and S. Shyam Sundar initially wanted to know more about the fake news epidemic. Now, with $300,000 in funding from the National Science Foundation, the duo is working ...

With global ignorance apparently on the rise, brave researchers from the lands of Michigan and Amsterdam raise algorithms in the war on fake news.

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.

As generative AI produces increasingly convincing text, Dutch researchers are exploring how linguistic cues, model bias, and transparency tools can help detect fake news.

The team determined that the most reliable ways to detect both fake news and biased reporting were to look at the common linguistic features across the source's stories, including sentiment ...

Researchers have trained computers to detect politically biased sites and those that push less-than-factual stories partly by focusing on emotional language and shorter Wikipedia entries.

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 ...