Early in 2017 I reported: This week Nature published some empirical data on a surprising-popularity consensus mechanism. The idea is to ask people to pick from several options, and also to have each person forecast the distribution of opinion among others. … Compared to prediction markets, this mechanism doesn’t require that those who run the mechanism actually know the truth later. … The big problem … however, is that it requires that learning the truth be the cheapest way to coordinate opinion. …. I can see variations on [this method] being used much more widely to generate standard safe answers that people can adopt with less fear of seeming strange or ignorant. But those who actually want to find true answers even when such answers are contrarian, they will need something closer to prediction markets.
Thanks Mr. Kong. Algorithm is simple, and asking group of agents binary-choice questions would already bring some benefits - what about to elicit a scoring system to identify fake news for the start...
Thanks Mr. Kong. Algorithm is simple, and asking group of agents binary-choice questions would already bring some benefits - what about to elicit a scoring system to identify fake news for the start...