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Any kind of system where you can translate http requests to money will have a problem with fake users. Might be click fraud for ads, sending spam to web forums,
by jsnell 6y ago
Any kind of system where you can translate http requests to money will have a problem with fake users. Might be click fraud for ads, sending spam to web forums, or liking YouTube videos to get the videos recommended.
For some of these operations, you can just work off of the content. Spam messages need to advertise something, so the text needs to look very different than for legit posts.
But something like an upvote or like? It's a single bit of information, you can't say if it's legit or fraudulent in isolation. So then you need to come up with additional signals to cluster on from wherever you can.
Some of it will be behavioural (these 10k users only liked these spammy videos), but a lot of it has to be environmental.
- est 6y agoPosting blatant spam message got removed by NLP pipelines, spammers evolves to be more implicit, for example, the avatar of the user contains an image of crypto currency ad, then the spammer "liked" your video. You got a notification, and you noticed his/her avatar. Had to OCR all those god damn avatars.