Here's the question I'd want to ask: if the Facebook ad clicks are from click-farms but you don't pay for them, how did they get there?
One guess would be that click-farm people like stuff at random to "seem legitimate". Maybe Facebook itself incentivizes fake account to like stuff by not deleting fake accounts that behave "conveniently".
But that's just a guess, I've look for someone to do more research.
Perhaps then, clumsy comments like the one made by joe_the_user:
One guess would be that click-farm people like stuff at
random to "seem legitimate".
I surely hope so.
Some of the comments that surface to the top of the heap, are head-achingly dreadful.
History is rife with far wilder inventions than the comment-curating 'contraption' that I describe, that have been conceived and crafted, drawing from a far smaller source of inspiration than the clumsy comment made by joe_the_user.
In all probability, the sort of thing, I describe, would never materialize in the foreseeable future. It could just be a figment of my imagination.
The leaps and bounds that are required for such comment-comprehension - especially the two step thing needed for the software to assimilate the contents of the video and then contextually-observe that joe_the_user has not viewed the video, just by reading his comment - are probably far too great for the current state of Deep Learning and AI (someone well versed in these areas could chime in).
Or perhaps such advents in content curation - unbeknownst to us - are already afoot.
Surely then your quick dismissing of my "value-less" comment could be the butt of jokes for posterity.
Time will decide.
http://thenextweb.com/facebook/2014/01/23/likes-lies-perfect...
As to your question, that's exactly what the video covers. With a nice animation and everything. And really, I expect Facebook to post some useful numbers rather than forcing us to do the research.
To me, it seems clear that if something's going on, it's not Facebook "conveniently" letting the fakes go. It's more the problem being hard to cope with.
Or somebody present me results that demonstrate how easy it is to identify fakes with low false positives.