Wiki surveys：开放且可量化的社会数据收集
Wiki surveys: Open and quantifiable social data collection
摘要：
在社会科学领域，促进量化的数据收集方法和对意外信息开放的数据收集方法之间长期存在紧张关系。技术的进步现在使新的混合方法结合了两种方法的一些好处。从维基百科等在线信息聚合系统和传统的调查研究中汲取灵感，我们提出了一类新的研究工具，称为维基调查。正如维基百科随着时间的推移根据参与者的贡献而发展一样，我们设想了一个由受访者贡献驱动的不断发展的调查。我们开发了三个基本原则，维基调查：他们应该是贪婪的，合作的，和适应性。在这些原则的基础上，我们开发了一种类型的维基调查，成对维基调查的数据收集和数据分析方法。使用两个概念验证的案例研究，涉及我们的免费和开源网站www.allourideas.org，我们表明，成对的维基调查可以产生的见解，将难以获得与其他方法。
英文摘要：
In the social sciences, there is a longstanding tension between data collection methods that facilitate quantification and those that are open to unanticipated information. Advances in technology now enable new, hybrid methods that combine some of the benefits of both approaches. Drawing inspiration from online information aggregation systems like Wikipedia and from traditional survey research, we propose a new class of research instruments called wiki surveys. Just as Wikipedia evolves over time based on contributions from participants, we envision an evolving survey driven by contributions from respondents. We develop three general principles that underlie wiki surveys: they should be greedy, collaborative, and adaptive. Building on these principles, we develop methods for data collection and data analysis for one type of wiki survey, a pairwise wiki survey. Using two proof-of-concept case studies involving our free and open-source website www.allourideas.org, we show that pairwise wiki surveys can yield insights that would be difficult to obtain with other methods.
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