Honestly, whoever has an idea for a spam detection measure for Mastodon, and by that I do mean an implementation, get in touch with me, I'll pay for it.
I've been thinking about solutions for the past few days but the more I think about them the more they appear pointless.
Defining an account as suspicious when it has no local followers can be circumvented by just pre-following them, using account age can be circumvented with sleeper accounts, blacklisting URLs does nothing when the spam does not include URLs, checking for duplicate messages sent to different recipients can be circumvented by randomizing parts of the message...
E-mail deals with spam using Bayesian filters or machine learning. The more training data there is, the more accurate the results, a monolith like GMail benefits from this greatly. Mastodon's decentralization means everyone has separate training data, and starts from scratch, which means high inaccuracy. It also means someone spamming a username could potentially lead to any mention of that username be considered spam due to the low overall volume of data, unless you strip usernames
However, if you strip usernames from the checked text, the spammer could write messages using usernames...
@Gargron do what WTDWTF does
there's no secret magic to it
users require a published post to edit their profile
users with zero or negative upvotes require mod approval to post
registering an account from an IP that is already associated with an account requires admin approval
about a month into this policy the spammers completely gave up
@Gargron I think one important aspect that has been pointed out by @ben is that users can be asked to classify the people they follow, and this can be used to compute some kind of credibility score for the new profiles, in order to limit their activity on a timescale at which modération is effective. I don't see any automated solution, tbh.
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