Fake followers show up as patterns the numbers cannot hide. A huge audience with tiny engagement, sudden follower spikes with no viral post, generic one-word comments and a following skewed to inactive or bot-like accounts all point the same way. A vetting tool samples the audience and scores how real it looks.
What actually gives away fake or bought followers to a tool checking a padded account against a real one?
Identification rests on a handful of tell-tale signals rather than one magic test. The first is the engagement-to-follower ratio, since a million followers producing a few hundred likes is a red flag that the audience is not really watching. The second is growth shape, because organic accounts rise in step with their content while bought accounts spike overnight for no reason. The third is comment quality, where strings of generic emoji and one-word replies suggest bot activity rather than a real community. Underneath, a vetting tool samples a slice of the actual followers and checks how many look inactive, default or bot-like, then rolls that into an authenticity score. No single signal is proof, though together they make padding hard to disguise, which is why you read them as a pattern rather than trusting any one number alone.