Community Notes is initiating a pilot program where selected contributors from diverse backgrounds will evaluate posts based on initial Like signals. This initiative aims to develop an algorithm that prioritizes content positively received by individuals with differing viewpoints. Future enhancements might spotlight such posts to enrich discourse. However, a concerning study by the Center for Countering Digital Hate revealed that a significant 85% of Community Notes go unseen by users, raising questions about visibility and engagement in discussions.
A subset of Community Notes contributors - representing a wide range of viewpoints - will occasionally see a new callout in the product. The callout shows based on early and limited Like signals on the post.
Depending on insights and feedback from the pilot test, it is possible that in the future, ratings could help spotlight posts that are liked by people who normally disagree.
Another analysis conducted by the Center for Countering Digital Hate (CCDH) study conducted earlier this year by Spanish fact-checking site Maldita found that 85% of all Community Notes are never displayed to X users for the same reason.
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