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submitted 1 year ago by koper@feddit.nl to c/fediverse@lemmy.ml

The best part of the fediverse is that anyone can run their own server. The downside of this is that anyone can easily create hordes of fake accounts, as I will now demonstrate.

Fighting fake accounts is hard and most implementations do not currently have an effective way of filtering out fake accounts. I'm sure that the developers will step in if this becomes a bigger problem. Until then, remember that votes are just a number.

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[-] kionay@lemmy.world 3 points 1 year ago

If we stop spam accounts from brand new or low usage servers those could both be easily mailed (emulated activity, pre-create instances and let them marinate)

I don't know much about how making new instances works, but could someone create instances in large qualities with smaller populations with the goal of giving human moderators too much work to defederate them all?

[-] Derproid@sh.itjust.works 3 points 1 year ago

This would actually be a bit more difficult. So first it would be easy for me to set up lemmy1.derproid.com, lemmy2.derproid.com, etc. but if you could just defed from *.derproid.com it's no problem. However setting up lemmy1.com, lemmy2.com, etc. is more expensive because you would need to register and pay for each of those domains individually.

That's not to say it's impossible but there is a bigger barrier to it.

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[-] lasagna@programming.dev 3 points 1 year ago* (last edited 1 year ago)

Wouldn't a detection system be way better? I can see a machine learning model handling this rather well. Correlate the main accounts to their upvoters across all their posts and create a flag if it returns positive. It would be more of a mod tool, really.

I have already ran into a very obvious Russian troll factory account and it really drags down the quality of the place. Freedom of speech shouldn't extend to war criminals and I'd rather leave any clusterfuck that allows it, whether they do it through will or incompetence.

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this post was submitted on 09 Jul 2023
2169 points (97.4% liked)

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