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RE: Improving Steem’s rankings to cater to diverse content preferences
It would help but not resolve the main issue. Currently users are rewarded more to rewarding content creators with the highest rewards rather than best content.
The best content is subjective. The only way to determine best is to go by rank and the only rank we have is votes. So the most votes is considered the best by the community. No different from Reddit or Slashdot or any other collaborative filtering.
Afaics, my proposal when orthogonally clustered per topic (aka tag or hashtag) would automatically (i.e. algorithmically) accomplish the same by ranking the irrelevant posts at the bottom of the list of posts for the topic, without needing to manually pick and trust moderators.
True, but hypothetically my clustering proposal should offer the advantage that rankings are customized for each cluster, i.e. for each group of people who tend to vote with the same preferences, thus automatically customizing rankings to different people’s likes (up votes) and dislikes (down votes).
Not all votes are equal. Rich/Powerful voters have more important vites.