If someone post a clip playing guitar and singing for example, would it determine this is a performance, and it should show it to cohorts who have liked viewing performances in the past?
Or would the AI model work more like… show (unknown type) clip to random people, identify similarities in the people who like or dislike the video based on those user’s viewing habits and then try to identify the video type based on that knowledge? I guess the second method would be very inefficient unless combined with some feature extraction and metadata / tagging from the source.
Not an ML person, just a curious dev.
Don't have any illusions, they can easily control what goes viral if it matters to the mothership.
I don't think they are successful at keeping off political content though, in the sense that denying political content is a political statement itself in favor of the status quo.
The manual shadowbanning fight is one they will never win.