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Garrett  pfp
Garrett
@garrett
When Warpcast got rid of reply bumping, it caused people to get disconnected across the network. The social fabric got shallower and wasn't as robust as it was with reply bumping It was harder (or impossible) to see what the people we follow were replying to. This direction is more media focused and less social focused where the algo rewarded consumer-producer relationships on the network as opposed to that of being friends on the network Personally, my hope is that Farcaster/Warpcast feels equally social and media rather than most social media platforms that I view as media dominated by heavily skewing towards consumer-producer relationships in their respective algorithms great data analysis by @yesyes
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Steen!!! pfp
Steen!!!
@usersteen.eth
hands down my favorite experience on [twitter type things] is discovering an interesting conversation. poor thread UX continues to make doing so from a top-level cast cumbersome, so this is a pretty uncommon occurrence these days. bummer conversations are many times more valuable than endless top level casts
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Garrett  pfp
Garrett
@garrett
Completely agree and it’s something I really enjoyed about Farcaster in late 2023/early 2024 People were actually engaging in interesting back and forth convos on the feed. It made it feel more social and connected than other social media feeds
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kenny 🎩 pfp
kenny 🎩
@kenny
I always told people it felt like early reddit to me back then (I was a redditor back in the early 2010s) endless conversation rabbit holes, a large amount of intellectually curious people, hearty debates you simply can't have that dynamic if you make it hard to see threads (was always a problem) or you don't surface replies in the home feed consistently (became a problem in February)
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BrixBountyFarm 🎩
@brixbounty
Can bring it back now though?
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kenny 🎩 pfp
kenny 🎩
@kenny
easily could! but they prob won't because they've publicly said they care about testing the algo more when I said they're misguided in only caring about the algo because secondary effects of taking away features could harm content production (and by extension the algo), they basically told me I didn't know what I was talking about now that there's real data they could reevaluate I guess, but from my experience with back and forth convos on this topic I won't hold my breath
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