I'm not sure heavy automation is needed here, people jump from content creator to content creator by word of mouth. In contrast most algorithmic suggestions to me seem highly biased towards what is popular in general. I click on one wrong video in a news article and for the next two days my recommendations are pop music, Jimmy Kimmel, Ben Shapiro and animal videos
There are probably a ton of situations like that in YouTube, where certain kinds of mistakes are hardly noticed (it shows you a video you weren't remotely interested in), but others can be really bad and need special training to avoid (such as where it shows violent or sexual content to someone who likes nursery rhymes and Peppa Pig).
All three things I just mentioned are fairly niche, comparatively, yet it knows that I've been watching a lot of them lately and is giving me more of it.