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by VierScar
29 days ago
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How did you manage to uncover the operation? Is there any things that tipped you off? Is it like, accounts only posting on a precise subset of subs, or how much a network of accounts reply to each other? Or too much linking/references to products, or perfect spelling/identical consistent typos? I'm curious because it feels like it could be built into a tool to analyse - even if it does become a bit of an arms race. |
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Start with a single comment you think is a shill. Maybe 80% of their post history is vague inane generalities (like "aww so cute" in r/cats, or a reply to a top rated post that only paraphrases the existing context without adding anything new). You can use an LLM to identify every comment or post from that account that mentions a product or service. Take note of everyone who replies to that comment as well as the parent comment. Then use an LLM to identify every post from that original account asking for recommendations (hey r/bidet, what's your favorite bidet), and look at who responds. If you build this graph, draw directional edges based on who replied to who. The accounts with edges both ways across different posts are bots. Rinse and repeat by examing the post history of THOSE accounts. You will end up with a graph with a few loosely connected nodes (maybe false positives) but a tight web of spam accounts that frequently engage with each other.
That's your bot farm. This would be relatively trivial for reddit to implement, if they cared about reducing spam. I got a POC working in a few hours, back before they limited API access