Data

Does anyone have a good method for filtering out low quality casts from a data set?

I'm doing some analysis where I'm pulling a large number of casts and then analyzing engagement and some other stats. But I've found that a lot of replies are basically just spam, so they're throwing off my engagement numbers. Any ideas for how to filter out these spammy casts?

Art, music, onchain data. Former Director of Research @coinmetrics

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yeah good point, its hard to define exactly what should count as spam

I’m thinking I’d basically want to filter the same type of stuff that Warpcast hides under “Show more replies.” Like for example this cast has 16 replies but 14 of them are hidden because they're spammy

yeah good point, its hard to define exactly what should count as spam

I’m thinking I’d basically want to filter the same type of stuff that Warpcast hides under “Show more replies.” Like for example this cast has 16 replies but 14 of them are hidden because they're spammy

https://warpcast.com/katiewav/0x8466947e

Depends on your definition of low quality. A lot of "$DEGEN" tipping to be spam. There are other engagement hacking traits that are subjective like overuse of line breaks (clicking see more -> engagement) or casts that follow a <statement> <line break> <question> structure (which would have many false negatives)