Data

Came up with some metrics for Farcaster profiles. If anybody has experience with ML or similar tech, I would be curious to hear ideas on how to feed casts and profile metadata into an algorithm that identifies spam.

Came up with some metrics for Farcaster profiles. If anybody has experience with ML or similar tech, I would be curious to hear ideas on how to feed casts and profile metadata into an algorithm that identifies spam. https://dune.com/queries/3540715

My first thought would be to be get all the profile info of accounts, model citizens that you know for sure aren't botting and also those that for sure are. Then train your model to recognize those patterns with a score of 0-1.  In betweens may be varying levels of spammy, but may have some thoughtful behavior.

An art & tech aficionado.  I love mountains, dogs, and 67 degree weather.  

You'd have to be careful, unless this is desireable, but the whole $DEGEN tipping could be seen as spammy.  (which it kind of is), but you could clean that data out or teach your model to ignore it.