OpenRep - Open Reputation System
This would be an open and distributed reputation management system that keeps track of a user's reputation throughout the many websites that make up the world wide web.
OpenID provided us with an open and distributed authentication system, but this is where it stops.
I believe that OpenRep is the missing layer between this and the many other 'Social Web' platforms that exist out there (blogs, social networks, e-retailers such as Amazon and Ebay).
When a user posts a blog, comments on another user's blog, reviews a product or service, attempts to sell an item on Ebay, tries to purchase an item on Ebay, Requests to add a friend on Facebook, or performs many of the other 'social' interactions available on the WWW, their reputation has the potential to play a role in how others perceive that interaction and how much of a 'weight' it may carry.
We therefore need a means of tracking this reputation between websites.
Data (ratings, comments and the 'semantic categories' to which they relate) would be collected against each user profile, as they currently are to some extent on existing websites like Amazon and Ebay.
This data would be synchronized with that user's OpenRep account (which would be linked to their OpenID account and referenced also by URI). This data would then become available to the other websites that they login to with their OpenID login.
OpenRep servers would be Open-source and anyone would be able to establish an OpenRep provider. The 'industry' of providers would be self-regulated in that the servers would provide a means for that Provider to link to and rate all the other's reputations, with the combination of these ratings also being stored on each server.
This would keep out 'pirate' OpenRep servers as the 'savvy' user would verify the 'OpenRep' of someone's blog via an alternate OpenRep provider, and this would happen automatically with websites that provide OpenRep to their users.
For anyone who's interested I wrote about something similar to this in my blog after reading an article in Scientific American on "Science 2.0":
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