The Community Notes process works when users link notes to images instead of specific tweets, thus allowing these notes to appear on all tweets containing the same media/imagery. Consequently, when someone rates a note, the rating is associated with the tweet that displayed the note, helping other users discern instances where a note might not align with the original content or context of a specific tweet.
When someone marks a note as helpful, Twitter tallies the number of views that image has across all Tweets, but it only contributes to the ‘Writing and Rating Impact’ score of the author and raters once. Ideally, this will normalize over time as Twitter identifies sketchy accounts that post misleading images and identifies a larger pool of trusted users who are adept at spotting fake images.
Twitter is treading cautiously with Community Notes, preferring to match images with precise similarities instead of roping in images that look similar but have visually distinctive variances. Twitter says it’s actively fine-tuning this process, and will also monitor feedback about the system and its efficacy overall to inform future changes.
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