a few years ago, when I was trying to "return back" to social media, I realised there was kind of nowhere to go. All social feeds were either engagement-driven and wanted too much of my attention at the cost of content quality, or chronological, where the burden of sorting was on me, or editorial, where there were fixed elites doing all the sorting/filtering.
This is our attempt at making a feed that answers a more human-centric question. Instead of collecting likes, upvotes, views, etc. to answer the question of "What is getting the most traction today", or "what is most popular today" - it does none of that and just lets users decide what gets published (and, consequently, seen by everyone) through randomised majority voting. Basically, it tries to answer the question: "What does each community as a whole decide is worth attention today?"
Answering this question was not easy. After trial and error, we can reliably say that it does work mathematically, on simulation, and "on the paper". But it still remains to be seen whether there are other failure modes we did not think of, such as psychological, game theory-based, etc. After all, as far as we're aware, such a design hasn't been tried before, and there may be solid reasons for why - please help us see them!
on this experimental note - I hope you'll like it, and I am here to answer any questions you may have! Cheers!
smnkgv•1h ago
This is our attempt at making a feed that answers a more human-centric question. Instead of collecting likes, upvotes, views, etc. to answer the question of "What is getting the most traction today", or "what is most popular today" - it does none of that and just lets users decide what gets published (and, consequently, seen by everyone) through randomised majority voting. Basically, it tries to answer the question: "What does each community as a whole decide is worth attention today?"
Answering this question was not easy. After trial and error, we can reliably say that it does work mathematically, on simulation, and "on the paper". But it still remains to be seen whether there are other failure modes we did not think of, such as psychological, game theory-based, etc. After all, as far as we're aware, such a design hasn't been tried before, and there may be solid reasons for why - please help us see them!
on this experimental note - I hope you'll like it, and I am here to answer any questions you may have! Cheers!