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The big problem here isn't detecting bots. Sure, in this one company's case bots may be the problem; but in general, it's detecting behavior that you are paying
by lambda 14y ago
The big problem here isn't detecting bots. Sure, in this one company's case bots may be the problem; but in general, it's detecting behavior that you are paying for that doesn't make you any money. There may be real users who click "like" a lot; they may do it because they're paid, or they may do it because they're bored and trying to see how many "likes" they can collect. It doesn't really matter; none of them are very valuable to an advertiser.
Rather than trying to explicitly filter bot traffic, they should try to quantify the value of particular "likes". For instance, a user who demonstrably clicked through and purchased something is much more valuable than one who "likes" 10,000 companies and has no friends, whether or not they're a bot.
And heck; a bot that has thousands of followers who all buy lots of things is valuable too. Maybe someone created a particularly effective meme-generator bot, and people who follow that bot are likely to buy ironic T-shirts. Whether or not a user is a bot isn't all that relevant; it's whether that user's activity correlates with you making sales.