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dansup

I gotta admit, the Autospam detection in @pixelfed is much better since I added the AI algorithm!

Feels good knowing we have the best spam mitigation across the #fediverse

Look forward to sharing how we did this, and our future plans, in an upcoming pixelfed.blog post

8 comments
wakest ⁂

@dansup are you using an self hosted open source AI model?

dansup

@liaizon It's self hosted, each instance trains its own dataset.

Admins can export/import spam training data, and share it amongst themselves, though the other half of the training data (ie: user posts that aren't spam) are not exportable/sharable due to privacy concerns.

wakest ⁂

@dansup Wow that sounds quite perfect! Do the accounts that get caught go into a queue of some sort that a human can look through in case there are false positives?

LPS

@dansup
You should share it with the guys at dechdirt, they're latest conversation about moderation was about these challenges :)

Our better yet a let @deadsuperhero write about it when #weDistribute comes back online😉

@pixelfed

Rev. GothAlice

@dansup @pixelfed Interesting point of fact, since properly training SpamAssassin's bayesian filters, 20 (wrote 15… then checked myself) years ago, I have never received any false-negative spam. Could a heuristic system like SA's not be repurposed? (Unless you count Bayesian statistical analysis as AI, of course.)

I'll be sure to watch for the post!

Anatisadalia 🐞🌺

@dansup @pixelfed Heklo! Any posts showing how to use Pixelfed? I downloaded SchildiChat. What are some basic & recommended next steps? Please & thank you!

Robert Boler

@dansup @pixelfed That last line— That’s what sets you & the federated folks apart from business-as-usual. Feels like what the internet was made for. Keep slaying and sharing 🖖

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