quantized
@quantized
"suggested followers" ruin all new social networks by creating an inequitable/lopsided socio-economy that stagnates the culture around the early nerds / founders' friends
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Dan Romero
@dwr.eth
What’s a better model?
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Venkatesh Rao ☀️
@vgr
Sortition above a minimum quality low threshold Give everybody 50 randomly selected follows from a large group of 2000 active casters A bit like data availability sampling at human level Maybe give them a button to regenerate the set Show them a word cloud of casting topics in the set
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quantized
@quantized
alternatives i can imagine are not great 1) global competition at content level a la early tik tok 2) degraded initial experience that asks user to do more work in bringing their own network over 3) degraded initial experience that has the user do more exploration via niches/interests 4) sincere attempt to highlight users that are lower follower but some algoirthmic assesment of quality/category of content/etc
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Michael Finney
@mdf365
Recommending other very new users so they are almost like a cohort I suspect ~20 years into online social networks very few people don’t know how to find their interests or other people they already know, additionally as microblogging platforms niche down then it becomes exceedingly unlikely that they know no one there that is connected with their interests or ideology
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Nate “Igor” Smith 🎩
@drivenbyboredom
I think when you join you should just have a bunch of channel options to join. It would fill your feed with content you are interested in and you will find people to follow that share your interests.
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rommy
@fingerguns.eth
Leverage content generated to create vectors of interest. “for those of you into art, here are some folks…” “for those into tech…” “for those into music…” It’s still imperfect and has some of the same challenges, but it also centers things around areas of interest rather than just individuals?
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