Reputation systems have both a descriptive role, providing information on content and user quality, and a prescriptive role, providing incentives for constructive behavior. Content-driven reputation systems derive feedback from analyzing content and interactions; they can scale to very large systems and made resistant to many types of bias. finding "signal in the noise" of crowdsourced content is extremely challenging; a good reputation system allows users to zero in on the best content, spotting vandalism and attacks.
There are two types of reputation systems: the content-driven and user-driven reputation system REF .
Reputation systems for open collaboration
CACM
Computer Science Medicine