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downshift πŸŒΉβ³πŸ’€ pfp
downshift πŸŒΉβ³πŸ’€
@downshift.eth
even when i test engagement farming tactics on this app (for science) they tend not to work as i would expect i truly don't understand their "algo" who's got the best insights on how it actually works? (we shouldn't trust Merkle to tell us how it works...for obvious reasons..)
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Pichi pfp
Pichi
@pichi
What are your goals? Aka getting on the leaderboard is different from trying to get a trending cast which is different from getting views/impressions.
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downshift πŸŒΉβ³πŸ’€ pfp
downshift πŸŒΉβ³πŸ’€
@downshift.eth
my goal is to understand how it works so i can warn/inform others
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Pichi pfp
Pichi
@pichi
But which one do you want to optimize for? They require different strategies.
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downshift πŸŒΉβ³πŸ’€ pfp
downshift πŸŒΉβ³πŸ’€
@downshift.eth
i'm making a statement that's anti-algorithm in general. fuck manipulating a content strategy to play into the hands of a wealthy central authority who stands only to profit of of you and all of your hard work. fuck that completely
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downshift πŸŒΉβ³πŸ’€ pfp
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@downshift.eth
my conclusion for now (until i have better data) is that Merkle reserves a secret nerf option for individual casts my most incisive and critical casts get almost zero engagement, especially when Merkle itself is in the crosshairs (when the rules of every traditional algo would see those blow up...everyone knows divisive content wins)
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Tony D’Addeo pfp
Tony D’Addeo
@deodad
I respect where this is coming from but feel like it's less about being anti-algorithm vs anti-a-specific-algorithm reality of social networks is that there is much more content than can be consumed so selecting the most interesting stuff is useful, it's just a matter of what that selection algo is good thing is the nature of farcaster means there will be natural competition and evolution here relative to existing networks which hopefully leads to better alignment between any particular user and their feed
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