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https://warpcast.com/~/channel/noice
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tk
@tike
one-to-many micropayments (v0 w/ @luc) >he launched a new product recently @faircaster >has a first investment announcement today >needs eyeballs >commits $150 >gets 1200 likes / 700 recasts in the first hour stuff of legends, now he has 1000s of people paying attention to what is announcement today evening a v0 in microincentives on the feed for us at noice this will become critical for launching new products, features, tokens, partnerships, announcements et al on open social, soon
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Vinay Débrou ⚙️
@vinaydebrou.eth
I am curious: 95% of likes/recasts are from engagement farmers/bots (i call them locusts) How valuable is their attention to @faircaster or @luc ?
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tk
@tike
his request explicitly mentions spam labels = 2, https://github.com/warpcast/labels more info on the spam labels here
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Vinay Débrou ⚙️
@vinaydebrou.eth
not sure how good the fc spam labeling is at the moment, but still, (I noticed from quick glance) 95% of people who are liking, recasting, following @luc or @faircaster are seemingly spammy. they will not get rewarded though via noicebot so maybe it disincentivizes them over time and then the real number of valuable attention becomes more visible? Is this incorrect?
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tk
@tike
you are correct
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Vinay Débrou ⚙️
@vinaydebrou.eth
I think the spam label =2 is not effective right now. many false positives like this randomly chosen account from those interacting with the post @imrk (has spam label =2 but go to their profile and you can see they are only using fc as a locust user, farming engagement). i think a high percentage of those 1500 likes and 850 recasts are from such accounts. maybe noice team can build a much more effective spammer filter with the noice tipping data you guys have.
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