I like running, poker and oysters | Founder, Social Forensics (SocialForensics.com) | Berkeley & UPenn | Learning to listen

it's interesting to observe how much juice @geoffgolberg can squeeze out of a following graph. While the Warpcast ML model has to worry about identifying spammers faster, on less actual spam and more related signals (are you a human being in Indonesia? susssssss).

At the same time, Warpcast needs to make it easier for newcomers to retain. Clearly, a setup with many hidden tripwires is horrible. And to have a HUGE penalty for spamming is even more problematic than caning someone for chewing gum.

I personally think a don't-talk-to-famous-people-if-you-don't-know-them rule is dehumanizing to both sides. But many seem to think it's common sense.

And then they play with the follower counts, not intentionally but with reactionary decisions, and it's kinda worse than any other social media experience.

I mean, the only thing Discord is missing for decentralized social is a crypto-rails identity. It's basically censorship-resistant (maybe moreso than this particular US company) and crypto-native by default

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PFP is my Native.fun Print, genart unique hash of wallet txns

Ethereum builder & people connector. Juicebox, Revnet, Defifa & Footy App

The follower reduction is a blip but your point is taken. There a pattern of MerkleM owning ‘your’ data- said in a perceptions matter kinda way- not literally. They are behaving as is there weren’t a football field size audience impacted by these very logical changes. They are way to mind over heart. That’s how I’d sum up the challenge. A cast or two warning ‘we are doing this’ is simply not enough to prepare people. They are ‘my followers’ right‽ I never liked that framing. It’s my follows not followers. Learning in public is hard & gets harder with scale. ✌️