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Reputation-based system

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Definition Edit

A reputation-based system (also called a reputation system) is a system that "formalizes the process of gathering, aggregating, and distributing information about individuals' past behavior."[1]

Overview Edit

Such systems have three principal functions:

  • Inform participants about other participants, to help them determine if a particular participant is trustworthy.
  • Create an incentive for good behavior. If participants know that they will be rated and that the rating is publicly available, they are more likely to provide accurate information (e.g., product listings), good service, and so on.
  • Provide a selection effect. If participants know that good behavior will be noticed and rewarded, they are more likely to join the system. Similarly, would-be malicious participants will know that any incompetence or deliberate disruption will be made public — a deterrent to misbehavior.

Such systems typically shows one of the two following main structure models (a compromise between these two extremes is also possible):

  • Centralized model: a central authority collects reputation scores (from other entities and using other sources such as its own observation), typically processes them to form an aggregated reputation score for a given entity, and then redistributes this reputation score for use by other entities. Online trading and market communities use this model.

There are also several types of reputation-based systems, including:

References Edit

  1. Public Response to Alerts and Warnings Using Social Media: Report of a Workshop on Current Knowledge and Research Gaps, at 34.

Sources Edit

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