Effects of Positive Reputation Systems,

@article{citeulike:1021812, abstract = {For a given population of potential trustees--actors or objects in whom others may seek to place trust--a positive reputation system is a formalized or institutionalized procedure or process by which a particular positive reputation is acquired or lost. Positive reputation systems are common in modern society. Examples include awarding of certifications, awards, credentials, and positive reviews. This study mathematically derives effects of two general characteristics of such systems--how easy it is to get a reputation and how effective the reputation is at discriminating between cooperators and noncooperators--in the context of a third factor, the proportion of cooperators in the population. Some findings are as follows. The gain in confidence from a potential trustee having a reputation is a U-shaped function of reputation ease, with maximum depending on proportion of cooperators in the population. For potential trustees with a positive reputation, and trustors seeking and able to make deals with a limited number of trustees with positive reputations, the reputation is worth more the harder it is to get. However, when reputation effectiveness is moderate to high, the worth of a potential trustee with a positive reputation compared to the worth of a potential trustee without one becomes maximal when reputation is easy. The study also suggests a way to model continuous positive reputation systems--ones in which positive reputations are acquired gradually, as through amassing references.}, author = {Whitmeyer, Joseph M.}, citeulike-article-id = {1021812}, comment = {Abstract. Economic modeling provides a formal mechanism to understand user incentives and behavior in online systems. In this paper we describe the process of building a parameterized economic model of user contributed ratings in an online movie recommender system. We constructed a theoretical model to formalize our initial understanding of the system, and collected survey and behavioral data to calibrate an empirical model. This model explains 34\% of the variation in user rating behavior.We found that while economic modeling in this domain requires an initial understanding of user behavior and access to an uncommonly broad set of user survey and behavioral data, it returns significant formal understanding of the activity being modeled.}, doi = {10.1006/ssre.1999.0663}, journal = {Social Science Research}, keywords = {economic, recommender\_systems}, month = {June}, number = {2}, pages = {188--207}, posted-at = {2007-04-04 15:58:30}, priority = {2}, title = {Effects of Positive Reputation Systems,}, url = {http://dx.doi.org/10.1006/ssre.1999.0663}, volume = {29}, year = {2000} }

TY - JOUR ID - citeulike:1021812 L3 - citeulike-article-id:1021812 N2 - For a given population of potential trustees--actors or objects in whom others may seek to place trust--a positive reputation system is a formalized or institutionalized procedure or process by which a particular positive reputation is acquired or lost. Positive reputation systems are common in modern society. Examples include awarding of certifications, awards, credentials, and positive reviews. This study mathematically derives effects of two general characteristics of such systems--how easy it is to get a reputation and how effective the reputation is at discriminating between cooperators and noncooperators--in the context of a third factor, the proportion of cooperators in the population. Some findings are as follows. The gain in confidence from a potential trustee having a reputation is a U-shaped function of reputation ease, with maximum depending on proportion of cooperators in the population. For potential trustees with a positive reputation, and trustors seeking and able to make deals with a limited number of trustees with positive reputations, the reputation is worth more the harder it is to get. However, when reputation effectiveness is moderate to high, the worth of a potential trustee with a positive reputation compared to the worth of a potential trustee without one becomes maximal when reputation is easy. The study also suggests a way to model continuous positive reputation systems--ones in which positive reputations are acquired gradually, as through amassing references. IS - 2 JF - Social Science Research EP - 207 TI - Effects of Positive Reputation Systems, VL - 29 SP - 188 KW - economic KW - recommender_systems N1 - Abstract. Economic modeling provides a formal mechanism to understand user incentives and behavior in online systems. In this paper we describe the process of building a parameterized economic model of user contributed ratings in an online movie recommender system. We constructed a theoretical model to formalize our initial understanding of the system, and collected survey and behavioral data to calibrate an empirical model. This model explains 34% of the variation in user rating behavior.We found that while economic modeling in this domain requires an initial understanding of user behavior and access to an uncommonly broad set of user survey and behavioral data, it returns significant formal understanding of the activity being modeled. AU - Whitmeyer, Joseph PY - 2000/06// UR - http://dx.doi.org/10.1006/ssre.1999.0663 ER -