X, the platform formerly known as Twitter, is piloting a new use of its Community Notes feature — not to fact-check misinformation, but to identify posts that resonate across political or ideological divides. The experiment, announced Thursday via the Community Notes X account, introduces a way for select contributors to rate why they like or dislike trending posts.
The goal of the new initiative is to surface content that appeals to a broad spectrum of users, using the same “bridging algorithm” that underpins Community Notes’ fact-checking model. That algorithm seeks consensus between users with differing viewpoints before publishing a note, ensuring that no single ideological group can dominate the process.
Now, X is applying that logic to measure content popularity. When a post begins receiving significant engagement, select Community Notes contributors may be prompted to evaluate the content through a structured feedback mechanism. Their responses will help determine whether the post is viewed positively by people with divergent opinions.
According to the company, this new application could “bring awareness to what resonates broadly,” potentially identifying ideas and themes that unify rather than divide users. The move also reflects X’s ongoing strategy of using community-based moderation and crowdsourced judgment in place of traditional platform policing.
While Community Notes has been criticized for delays in flagging misinformation, its underlying model has gained traction — even adopted by Meta to inform its own approach to content accuracy. With this latest expansion, X appears to be exploring whether the same methodology can elevate quality content beyond the scope of factual correctness, using consensus as a signal for broadly relevant discourse.
