The Freakonomics Blog is also now talking about truth markets (is it information market day or something?):

An excerpt, which they excerpt from a letter:

I think the guy who talked about having a trustworthiness rating for individuals is on the right track. Except, anything that distracts users from making immediate changes (such as logging in, or a notion that I have to build my reputation to have an equal voice) could be the death of wikipedia. My approach to improve wikipedia would be to include an “information liquidity” metric along with each page, similar to a stock’s trading volume. Pages could be grey-scale coded based on the page change history, with high-volume pages appearing darker, more solid. Of course this can be gamed, but here gaming has visible artifacts. As far as accuracy goes, I think this would solve Stephen’s objection because the informational backwaters—pages with lower liquidity—would appear visually distinct from the heavily modified. In machine learning there’s a construct called a Boltzmann Machine (aka simulated annealing machine) which describes the dynamics of systems like wikipedia, but it requires a metric like volume/liquidity/energy. An alternative approach to social networking for solving accuracy/trust problems is this one, which I’m very intrigued by, but the system isn’t big enough yet to bear out the promises.

Categories: Incentive Centered Design, Information Asymmetries, Information Economics, Information Markets, Social Software