I think recommendation centric architecture that YouTube has changes meaning of upvotes/downvotes from a global content value judgement into a clustering signal. The platform can correlate that signal to the content to cluster users, creators, content, into groups and cohorts. Those characterizations can be further used to optimize platform for ad clicks.