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Predicting the perceived quality of online mathematics contributions from users' reputations

Published:07 May 2011Publication History

ABSTRACT

There are two perspectives on the role of reputation in collaborative online projects such as Wikipedia or Yahoo! Answers. One, user reputation should be minimized in order to increase the number of contributions from a wide user base. Two, user reputation should be used as a heuristic to identify and promote high quality contributions. The current study examined how offline and online reputations of contributors affect perceived quality in MathOverflow, an online community with 3470 active users. On MathOverflow, users post high-level mathematics questions and answers. Community members also rate the quality of the questions and answers. This study is unique in being able to measure offline reputation of users. Both offline and online reputations were consistently and independently related to the perceived quality of authors' submissions, and there was only a moderate correlation between established offline and newly developed online reputation.

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            cover image ACM Conferences
            CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
            May 2011
            3530 pages
            ISBN:9781450302289
            DOI:10.1145/1978942

            Copyright © 2011 ACM

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 7 May 2011

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            CHI '11 Paper Acceptance Rate410of1,532submissions,27%Overall Acceptance Rate6,199of26,314submissions,24%

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