I would really like to know more about how they determine what is "fake" versus real. > CHEQ monitors bots and fake users across the internet in order to minim

I would really like to know more about how they determine what is "fake" versus real. > CHEQ monitors bots and fake users across the internet in order to minimize online ad fraud for its clients. Tytunovich's company accomplishes this by tracking how visitors from different sources, such as X, interact with a client's page after they click one of their links. The company can also tell when a bot is passing itself off as a real user, such as when a fraudulent user is faking what type of operating system they are using to view a website. This does not seem anywhere near foolproof, and seems like it would have a small sample pool to analyze. It seems to me the overwhelming majority of bots are not following links... meaning they are sampling only a specific type of bot behavior and attempting to extrapolate that to the entire platform. That seems fallible. Additionally, the compared sites are not... comparable. It's not fair to compare twitter with Mashable, TikTok, Instagram, or even Facebook. The type of community is different, and the type of content is different. Twitter is much more of a broadcasting/informational platform (ie. shouting into the wind) and therefore lends itself to bot accounts a lot more than your average Facebook account, for instance. This is why for years the Twitter API (aka. "Firehose") has been such a contentious issue and other social platforms like Facebook's have not.