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

Currently deploying. Unofficial head platypus of /lp 

@deployer is testing something interesting with tomatoes. If you "tip" someone a tomato, you're basically reporting a low quality or spammy cast and it reduces their AD amount. Maybe the community could help keep out bad actors with the reverse-degen version of tomatoes?

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I don't think it will work because farmers will just try to distort the data by sending tomatoes arbitrarily to normal users as well. But it's an interesting idea.

Question, does super badge apply from scorers based on multiple channels? if a super badge was based on active score aggregation over multiple channels, it would make it harder to farm, as 1-2 channels not scoring you highly enough could possibly fix if only users with a score >=x can give tomatoes, no?