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X tests highlighting posts that are liked by users with opposing views
X says that this feedback will help develop an open source algorithm that can identify posts liked by people with different perspectives.
The experiment leverages the platform’s crowdsourced Community Notes feature, which is currently used when content has been marked as misleading or incorrect. Starting Thursday, a subset of Community Notes contributors will see callouts to rate and provide feedback about certain posts. X says that this feedback will help develop an open source algorithm that can identify posts liked by people with different perspectives.
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