501–510 of 562 posts
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Stylometry is an old hat technique; you can assume that intelligence services around the globe regularly apply it. (Statistical stylometry is a little newer and more rigorous than manual stylometry, which essentially involved a human being's judgement call around the similarity of documents.)
What about "deep leaning" stylometry ?
Yields some results
This one seems pretty interesting
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I turned off nginx logging if that makes you feel any better. Of course there's no way for you to verify that because I'm just a random guy on the internet but I will tell you that I am a civic minded citizen who is concerned about privacy and the Internet.
Only half kidding, but I’d I were state Intel it’s what I’d be doing. :D
also maybe a tf-idf vector of top n words per user.
also could maybe do a same phrase analysis across the corpus to find some hand picked features.
timestamps could be interesting.
or, of course, let the machine do it with comment2vec.
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Yes, this wasn't a criticism of the tool. It is crazy good. But I don't think people should be making the assumption that bolded results are definite alts, which sillysaurus' comment reads like.
Hmm, that wasn’t my intent. I see this tool as a recommendation engine more than a doxxer. By “signal to noise ratio close to infinity,” I meant that if you visit one of the bolded accounts, they’ll probably sound a lot like you. It’s one of those ideas that makes the tool substantially more effective, yet never would’ve occurred to me. It’s like the simplicity of pg’s “a plan for spam” algorithm: deceptively simple,…
That is absolutely all this will be used for. This is a dangerous tool that serves no real world purpose.
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MD5 of the username is 9abc27e93b7e3c04b7c599017c1cfe5f ? The top one seems an odd one out in that case?
Usernames aren't random enough to be safe as a simple MD5. Perhaps with a strong bcrypt, but similar to PIN codes, it might be better to give partial information like "is the second character an ...", assuming nobody else made similar statements. Or give the first ~two hex characters of the hash, so that it would match 1/(16²)rd of the usernames. I'm sure there's also a clever way for a zero-knowledge proof here, pro…
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The username in question isn't in this dataset but maybe it was created in the past 10 days, as the max(timestamp) is Nov 16th, 2022. https://console.cloud.google.com/marketplace/details/y-combi...
It isn't there, and given the "story" it happened years ago so it should be there, so I guess we've been played.
Oh wow, it's really sure that I'm stavrosk, which I am: https://stylometry.net/user?username=stavros The next person is 30% less certain, that's huge! This would basically identify any alt I might have with near certainty.
Funny thing is, it thinks I'm you, but it doesn't think you're me! https://stylometry.net/user?username=rogual I'd have thought this stylometry thing would be commutative.