Those types of videos still tick the box of "relevant" to current recommendation algorithms though. I sort of mean that algorithms won't branch into unfamiliar territory. So, as an example, I've never looked up "underwater basket weaving"[1] or getting into to. So from the algorithm's perspective, there is an element of uncertainty with recommending it, because it doesn't know if I'll like it, be ambivalent, or strongly dislike it. Then, it compares that rating to other content on the platform, like your reaction videos, and even though they may be disliked, if they are favorable to others in your focus group, they'd still have a higher rating than uncertainty.
The issue is that we don't really have a good method for measuring uncertain interests and since most algorithms have an underlining "make the company money", we don't get anything beyond the same ol' same ol' recommendations.
[1] Underwater Basket Weaving is a placeholder for anything - yoga, video games, cooking, politics, essentially anything you are currently NOT getting presented.