系统互惠奖励:用一类新的激励激励在线社区中的专家参与

D. DeAngelis, Suzanne Barber
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引用次数: 2

摘要

问答(QA)系统等在线社区正在迅速发展,我们越来越依赖它们来获取有价值的信息和娱乐。然而,寻找有意义的奖励来激励最合格的用户或专家的参与,给研究人员带来了两个主要挑战:识别这些用户和(2)奖励他们的参与。使用跨学科的理论框架,我们说明了识别和激励最有价值的贡献者在线社区的可能性。我们认为,访问同行生成的内容可以直接激励人们运用自己的专业知识,从而生成更多的内容。来自380名参与者的调查数据表明,与传统的基于成就的奖励相比,用户更喜欢一种新型的激励机制——互惠的系统奖励。总的来说,这项研究提出了许多不同类型的在线社区的重要考虑因素,包括社交网络和新闻聚合网站。系统互惠奖励:用一类新的激励激励在线社区中的专家参与
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systemic Reciprocal Rewards: Motivating Expert Participation in Online Communities with a Novel Class of Incentives
Online communities such as question and answer (QA) systems are growing rapidly and we increasingly rely on them for valuable information and entertainment. However, finding meaningful rewards to motivate participation from the most qualified users, or experts, presents researchers with two main challenges: identifying these users and (2) rewarding their participation. Using an interdisciplinary theoretical framework, we illustrate possibilities for identifying and motivating the most valuable contributors to online communities. We suggest that access to peer-generated content can directly motivate people to apply their own expertise, thereby generating more content. Survey data from 380 participants suggests that users strongly prefer a novel class of incentives—reciprocal systemic rewards—to traditional achievement-based rewards. Overall, this research presents important considerations for many different types of online communities, including social networking and news aggregation sites. Systemic Reciprocal Rewards: Motivating Expert Participation in Online Communities with a Novel Class of Incentives
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