[waterheater]

The obvious solution is to actually have librarians correctly classify the videos. DDS focuses on the nature of the work itself, not on the keywords or spam in the content. Librarians understand how to class all kinds of works, and it should be relatively simple to build a DDS/MDS index (Melville Decimal System since it's open, see https://librarything.com/mds) for YouTube videos. Just like with books, disagreement on classification is inevitable and perfectly natural; there's no perfect classification scheme, though DDS/MDS does a generally good job.

[ghaff]

Dewey Decimal is probably not actually appropriate but it would be nice to have a good and appropriate classification scheme be used.

[wodenokoto]

> The obvious solution is to actually have librarians correctly classify the videos

Which videos? The 500 hours of video uploaded every minute?

[nightshift1]

There is already auto captioning done by YouTube. It would be trivial to plug an ai that generates tags and classify each videos based on the whole content. I am sure they already do that.

[oefnak]

All videos of accounts with more than X subscribers.