A small tech team investigated fraud on our platform and developed a system that was pretty robust at detecting and potentially shutting it down. But literally nobody was interested - even the people advertising don't want to know.
The people spending money are typically networks, media buyers, ad agencies, etc, far removed from the actual brand.
There are so many parties who want a slice of the brand's cash that they are all long past caring about whether the ad is being viewed by a human or not.
I worked in adtech. I built a simple ML system that detected signals of fraud on our network. When I reported my findings execs told me the group that was facilitating the fraud was our only profitable division. Soon after, our company went bankrupt. My final paycheck was months late.
IIRC our system wasn't even fancy ML - just finding known user IDs with identical timestamps over many simultaneous clicks / impressions on really diverse publishers.
A small tech team investigated fraud on our platform and developed a system that was pretty robust at detecting and potentially shutting it down. But literally nobody was interested - even the people advertising don't want to know.
The people spending money are typically networks, media buyers, ad agencies, etc, far removed from the actual brand.
There are so many parties who want a slice of the brand's cash that they are all long past caring about whether the ad is being viewed by a human or not.