X will use Community Notes to find which posts are well-liked

Just a heads up, if you buy something through our links, we may get a small share of the sale. It’s one of the ways we keep the lights on here. Click here for more.

X (Twitter) is testing a new way to highlight popular posts that bring together people with different viewpoints. 

This experiment is being done through its existing system called Community Notes, which is already used to fact-check content using input from regular users instead of relying on professional fact-checkers.

Normally, when users disagree about what’s true or false, it’s hard to decide what information can be trusted. 

Community Notes tackles this by using something called a bridging algorithm. This special system looks for agreement between people who don’t usually see eye to eye. 

If people with very different opinions both agree that a correction or fact-check is accurate, that note is made visible to everyone. 

This method helps reduce bias and keeps the process from being influenced by only one side of a debate.

Now, X wants to try using this same approach to find and highlight great posts, not just correct misinformation. 

Community Notes show when they’re found helpful by people who normally disagree. What if we could do the same for posts, recognizing posts that are liked by people who normally disagree? We’ve heard requests for this for years since launching Community Notes, and we’re starting a… pic.twitter.com/ITRgWIJ2vE

— Community Notes (@CommunityNotes) June 5, 2025

The idea is that if people from different backgrounds all seem to like the same post, it might be something that resonates across political or social divides, a post that many can appreciate, even if they usually disagree.

In this pilot test, a small group of Community Notes users will see a new option on certain posts that are getting a lot of Likes. 

They’ll be asked to answer questions about why they liked or didn’t like the post. 

Their feedback will help the algorithm decide whether the post is genuinely connecting with a wide range of people.

The team behind Community Notes says this experiment is meant to shine a light on shared values or ideas, things that bring people together rather than divide them. 

They’re starting small and say they’ll use feedback from the community to shape how this feature works, just like they’ve done with Community Notes so far.

X is trying to find out not just what’s true, but also what’s meaningful across the spectrum of opinions.

Do you think X’s bridging algorithm could actually help highlight content that brings people together? Or will it just end up promoting bland, non-controversial posts that don’t add much value? Tell us below in the comments, or reach us via our Twitter or Facebook.