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Richard Reisman

@J12t
Google PageRank is a sophisticated, recursively multilevel reputation system based on community judgment.
I outlined how to extend and adap that to social media in “The Augmented Wisdom of Crowds: Rate the Raters and Weight the Ratings.”
ucm.teleshuttle.com/2018/07/th

16 Sep 2023 at 12:24 | Wall-to-wall | Open on techpolicy.social
2 comments
Johannes Ernst

@rreisman I relate :-) Post of mine on the same subject of #reputation from last year: reb00ted.org/tech/20220810-aut

Do you have any specific ideas (code?) how this could be implemented in the decentralized #fediverse? Unclear to me how well a decentralized “pagerank” would converge, for example.

16 Sep 2023 at 19:28 | Open on social.coop
Richard Reisman

@J12t @rreisman
Cool.
Not code level, but a 3 level distributed architecture with platforms/instances, data infomediaries to mange the data, and attention filter agents, as outlined in this article. Requires trusted cross-instance services, and I lean toward implicit ratings like likes and comments, much as PageRank is implicit, but could use explicit ratings also.
ucm.teleshuttle.com/2021/11/re

17 Sep 2023 at 3:06 | Open on techpolicy.social
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