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Jacek.degen.eth 🎩
@jacek
Interesting research paper on spam detection using ML on a Twitter dataset, featuring a cool list of metrics used. It would be cool to see someone develop an algo like this for Farcaster data. https://www.sciencedirect.com/science/article/abs/pii/S2468696420300203?via%3Dihub
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Amir Mabhout
@amirmabhout
Some of that data is only accessible by Warpcast client, but rest are public hub data!
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Marcelo Terça-Nada 💎🎩✨
@marcelonada
Amazing research. Thanks for sharing ✨
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Mentat 🐹
@mentats.eth
To accelerate the research about spam detection, we could construct some data sets for the ML researchers. We might leverage Kaggle or Gitcoin for onboarding such researcher.
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//trip
@heytrip.eth
Got the actual paper? Link only has snippet and paywall
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Perec, Georges
@perecgeorges
This list was created by a madman or a prophet. Which perhaps is another way to describe large data sets.
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K3🫵👁️
@keith33333.eth
i dont see emojis on there but i do see hashtags, interesting. imo with AI and machine learning this issue should be almost solved on all platforms, heck it should be able to predict. there should be no bots and we should not have to pay fiat or crypto to use an app. but imho bots are good for business.
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joshisdead.eth
@joshisdead.eth
Following this 📝📝📝 Taking notes
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Dan Robert🎩
@drrallycat
Wonder what standards they are using for each indicator. Would be interesting to see how well it worked.
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Mmd⚡🎭🔵
@mmdx66
maybe i could do it
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