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

Authors:
Yla R. Tausczik;James W. Pennebaker
Affiliations:
University of Texas at Austin, Austin, Texas, USA;University of Texas at Austin, Austin, Texas, USA
Venue:
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Year:
2011

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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.