Image credit: PixabayFacebook is attempting to right some wrongs in the months after accusations that the site’s news feed is riddled with fake news stories.

This week, Facebook announced that it will be improving the “Related Articles” feature of the site to help reduce the number of fake news stories appearing on the site’s news feeds using improved machine learning technology.

With the updated technology, Facebook believes that it will be better able to identify potentially fake news and direct it to third party fact checkers.

“If a lot of people are talking about a topic, or if a third party fact checker has fact-checked an article, our research has shown that seeing these fact checker articles is really helpful to help people identify whether the news they are reading is misleading or false,” Facebook product manager Sara Su said. “It also gives them more context to help them make more informed decisions about what they read and share on Facebook.”

In addition to the information from the fact checkers, Facebook will also rely on information from users via comments or reactions to such news articles.

“This is really critical because the sooner we can identify false news, the more we can limit the number of people who are exposed to it," said Su. “We’re always learning and testing and evolving the program. It’s constantly evolving.”