This is great! I was thinking along the same lines that it would be good for relays to be able to tag a note as potential spam with a spam score so that clients can filter based on a user’s personal preferences. That way we don’t completely lose notes due to false positives.
Following up with a repo and some results on Nostr spam detection experimentation. It would seem like we can achieve upwards of 98% accuracy.
The dataset is a little targeted, and less generic, however it appears to perform well today. The repo has a README with more details. Happy to experiment and collaborate with anyone interested.
Even if Nostr relays don't filter these events, even embedding an event key of meta.spam_score=0.00 into events they serve would mean clients can choose to ignore it, or set their own score thresholds for event visibility.
https://github.com/blakejakopovic/nostr-spam-detection
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