@TechConnectify But let's think for a minute about what such a feature would look like in Mastodon, if it existed.
First of all, you'd want it to be more transparent than what exists on Twitter and other platforms; one of the big draws of Mastodon over other platforms is the lack of an opaque algorithm that tilts the scales. Of course, transparency has it's problems too, sometimes making it easier to game, but in general people have figured out how to game opaque algorithms too.
@TechConnectify So for it to be transparent, the algorithm, and it's training data should be transparent.
You also need to decide what signals you are going to include in your model. Here federation throws a wrench in things, as one server doesn't have immediate access to a lot of data on users from other servers.
Likes and boosts are fairly public, so you could probably use those as one bit of signal. Some sentiment analysis on the text could be a signal.