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.

#mastodev

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...

#mastodev

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

#mastodev

However, if you strip usernames from the checked text, the spammer could write messages using usernames...

#mastodev

@Gargron Honestly I'd pay to see someone do that, and then promptly ban them for it 😂

The more I think about email-like detection systems, the more I think as long as implementation is sound, it will help a lot with curbing common spam as the network grows and older instances and instances lots of users amass bigger datasets and higher confidence levels on spam detection.

Imperfect? Yeah. An arms race? Yeah. But it's a start.

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@Gargron I can only assume this must be how the early adopters of email must have felt when the system started getting big.

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