On Thursday, a feature posted on X said that it is starting an experiment that would identify posts that are loved by individuals who would typically disagree. The platform’s crowdsourced Community Notes function, which is currently utilized when content has been flagged as inaccurate or misleading, is utilized in this project.
The technology, which is being piloted to a few thousand testers who are all participants to Community Notes, X’s crowdsourced method to fact-checking, is designed to highlight content with consensus opinions.
Callouts to rate and comment on specific entries will be visible to a subset of Community Notes contributors starting Thursday. Depending on the post’s initial Like activity, the callout will be displayed.
Keith Coleman, X’s vice president of product and head of Community Notes, told ADWEEK, “The reality, which we see in our data, is there’s quite a lot of agreement among people, and often it’s sort of silent.” “Community Notes demonstrate the commonality that arises when you speak with people and observe what speaks to them. The product functions as a result. We are now using the same strategy to identify postings that people who typically disagree with enjoy.
And based on past data on their Community Notes contributions, the new feature will show a callout box when a post has received a lot of likes from users with different viewpoints. Both high- and low-visibility posts, including advertisements and branded material, may include the callout.
These callout boxes will now be visible to pilot participants on occasion, allowing them to comment and rate other people’s postings.
According to X, this input will aid in the creation of an open-source algorithm that can recognize posts that are liked by individuals with various viewpoints.
Participants will be invited to comment on the post’s positives and negatives. When providing input, they will have the ability to choose between statements like “I learned something interesting” and “I don’t agree with it.“
The “Community Notes demonstrate that people can agree, even on controversial topics,” X wrote in a post. “People often feel the world is divided.” This innovative new function looks for concepts, perceptions, and viewpoints that transcend boundaries. It can raise awareness of things that have a wide resonance. It might inspire others to initially express those thoughts. In the end, it might contribute to the advancement of the world in methods that the populace desires.
After Elon Musk took over the social network, X shifted away from conventional fact-checking and introduced Community Notes in 2022. Since then, Meta’s Facebook, Instagram, and Threads have all embraced the feature.
Coleman gave the example of a tweet from Delta announcing that certain flights in the United States would serve Shake Shack meals. There was a callout in the post praising the fact that it was liked by several people “with different perspectives.”
After that, the user can indicate whether they agree or disagree with the rating by clicking into the callout box.
An open-source algorithm will eventually be developed using the data from early testers to display when users with varying viewpoints like a post.
The Community Notes algorithm has previously been made publicly available by the company. In March, Meta redesigned its more conventional approach to content moderation and fact-checking by implementing the technology as the foundation for its own new Community Notes program.
According to Coleman, X has high hopes for the new pilot and plans to “expand to a much larger feature” soon.
“It may be simple for people to view something like this as a small pilot or experiment, but the implications for social media and the way that conversations take place both online and in the real world are really exciting,” he said.
X, which was once known as Twitter, introduced Birdwatch, an early iteration of Community Notes, in 2021. Since then, it has undergone substantial change. In addition to allowing notes to display minutes rather than hours after submission, X has included “media matching” to guarantee that a particular Community Note shows up in all postings that contain the same image or video.
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