FIP: Labels

A data standard to annonate context about accounts like language, humanity, spamminess and other qualities.

Labels will make it easy to generate public datasets that are useful for app developers to categorize casts and users.

FIP: Labels

A data standard to annonate context about accounts like language, humanity, spamminess and other qualities.

Labels will make it easy to generate public datasets that are useful for app developers to categorize casts and users. 

https://github.com/farcasterxyz/protocol/discussions/216

Technowatermelon. Elder Millenial. Building Farcaster. 

nf.td/varun

Warpcast plans to use this standard to expose some labels we've been developing internally. 

For example, we have a relevance score used to determine how likely a users content is to be to others on the network. A score of 0 means that you're likely a spammer while a score of 4 means that you post content that most people enjoy.

h/t to @akshaan for his work on relevance and developing this standard

Working on building zkTLS infra/products. A ruthless empiricist and meme connoisseur.

/opacity
/eulerlagrange

Nice. 

Will you also expose how the relevance score is computed or will that make it too easy to game?

I'm happy there is a separation instead of just all labeled spam.

Great work guys!

But literally every app offers to repost with your ad, for example, an invitation. As a result, you get a lot of identical posts. And what, will all this go to spam?