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What the pol.is appears to do well is provide a topology of opposing viewpoints- identifying the main "teams", finding the contours of agreement and disagreemen
by michael_j_ward 5y ago
What the pol.is appears to do well is provide a topology of opposing viewpoints- identifying the main "teams", finding the contours of agreement and disagreement, "a technology for survey research."
The HN URL describes something more ambitious: a technology for "Large Scale Discussions." This requires iterative steps where representatives from opposing viewpoints ask clarifying / challenging questions of other viewpoints, and collapsing "consensus-achieved" points as summary discussions in a knowledge base.
I've long had `pol.is` as a tool to be used in a 21st century platform for discourse, so the HN title has me excited that you're taking steps in this direction already.
Where should I look to understand "what happens next" after that initial sorting of viewpoints has occurred?
- wffurr 5y agoAfter the clustering, it then identifies points of agreement across clusters and surfaces those for voting to verify. That’s in the article on the linked site: “The algorithm then identifies “consensus statements" about which all the diverse clusters agree.” There’s also some notes about “group-informed consensus” on the algorithms page that might be interesting for you: https://compdemocracy.org/group-informed-consensus/ https://compdemocracy.org/group-informed-consensus/ And the “comment routing” algorithm: https://compdemocracy.org/comment-routing/ https://compdemocracy.org/comment-routing/