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To highlight the well-liked posts from different perspective users of Elon Mask, its crowding fact-checking system will start experimenting with a new way to use community notes. Thursday, the community notes the X account Declaration The introduction of a pilot test where the selected contributors will be able to rate posts by answering the questions about why that specific post is not liked or not.
The system is similar to how the community note factor-checking works. Users simply instead of allowing posts to upvote posts for accuracy-something that can be easily gameded if the contributors tie up to promote their own opinion-using something called “Bridging Algorithm”. Sens between those who usually do not share the same opinion try to find the cammeratory.

If those whose opinion usually agrees separately separately that a true-cheek is correct, the note is published and visible to the public. Although X’s system has been criticized for being unable to be unable to be unable to maintain a lot of misinformation on the platform, which has been the same idea since then Meta has been accepted As a replacement of fact-checking.
Now X wants to see if community notes can also help identify the best posts.
From today, the company has said that when a post is focusing on the form of choice, the contributors to the community will begin to see a new callout on a subset product. The contributors will then be able to respond and respond to the post, which the post will notify the algorithm if the post is well accepted by people with different perspectives.
A Post In the Community Notes X account, the company explains that the test can bring awareness on “what is widely resonated.”
The post says, “People often think the world is divided, yet community notes show that people may also agree on controversial issues.” We are making the way to develop the notes of the community to make the public with a small pilot so that this idea can be transformed by the public