I couldn't determine the details of your spam prevention system from just this one post, but do you have a spam classifier already set up? I started using Paul Graham's "Popfile" to filter my POP email back in 2000 or so and it was amazingly effective, with at least 99% accuracy and a similarly low false positive rate. And that was just a bag-of-words Naïve Bayes classifier; probably even a small deep neural net with word embeddings would be much better.
Anyway, if you clarify each submission ass they come in, they could be automatically flagged for review and hidden if the spam likelihood is greater than some threshold (95%?). Then mods could attend to the flagged queue, which would hopefully consist almost entirely of obvious spam.
Apologies if I've just described something you've already been doing for ages -- but just in case :)
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I couldn't determine the details of your spam prevention system from just this one post, but do you have a spam classifier already set up? I started using Paul Graham's "Popfile" to filter my POP email back in 2000 or so and it was amazingly effective, with at least 99% accuracy and a similarly low false positive rate. And that was just a bag-of-words Naïve Bayes classifier; probably even a small deep neural net with word embeddings would be much better.
Anyway, if you clarify each submission ass they come in, they could be automatically flagged for review and hidden if the spam likelihood is greater than some threshold (95%?). Then mods could attend to the flagged queue, which would hopefully consist almost entirely of obvious spam.
Apologies if I've just described something you've already been doing for ages -- but just in case :)