Predicting the perceived quality of online mathematics contributions from users' reputations
Predicting the perceived quality of online mathematics contributions from users' reputations
复制标题
根据用户声誉预测在线数学贡献的感知质量
DOI：
--
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
J. Pennebaker
中科院分区：
文献类型：
--
作者：
Y. Tausczik;J. Pennebaker
关于声誉在维基百科或雅虎等在线协作项目中的作用有两种观点。答案。第一，应尽量减少用户声誉，以增加广泛用户群的贡献数量。第二，应将用户声誉用作识别和促进高质量贡献的启发式方法。当前的研究调查了贡献者的线下和线上声誉如何影响 MathOverflow（一个拥有 3470 名活跃用户的在线社区）的感知质量。在 MathOverflow 上，用户发布高级数学问题和答案。社区成员还对问题和答案的质量进行评分。这项研究的独特之处在于能够衡量用户的线下声誉。离线和在线声誉都与作者提交的感知质量一致且独立地相关，并且已建立的离线声誉和新开发的在线声誉之间仅存在中等相关性。
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.