Video platform Bilibili superimposes user commentary on videos as they play ("danmu"). This seems like it'd be a total disaster, but the comments are usually high quality—in part because you have to pass a 100-question test on danmu etiquette and cultural trivia to post!
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More in this great article: medium.com/magpie-digest/
e.g. to post colored comments or position them, you need to have made more community contributions (like karma on a message forum).
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My guess is that limited scale must be important for these comments too? If the site had 500M users, it would be hard to imagine the test being effective (apparenly there's a black market for answers!). Enough people could fake their way through to create an awful experience.
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How does the comment quality compare?
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that’s neat! are comments associated with timestamps/ranges? how do they pick when to show what comments?
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I usually don't even read the Bilibili danmu, but they serve as a nice visual indicator of communal emotion at key moments in anime, e.g. Like everyone holding up a lighter during a ballad at a concert.
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It would be a super interesting training data set for a gpt-x adapted structure.
Given the underlying is already quite structured this is a super rich attention and semantic mapping mechanism.
Hmn..
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many people came for the comments specificially. they can be much more creative and entertaining than the video itself