少数人的智慧？协同标注系统中的“超级标注者”
The Wisdom of the Few? "Supertaggers" in Collaborative Tagging Systems
摘要：
从表面上看，大众分类法是一种由“大众智慧”建立起来的信息结构，但“大众”真的在做这项工作吗？标记实际上是一个严重倾斜的过程，其中一小部分“超级标记者”用户生成绝大多数注释。使用来自三个大型社交标记平台的数据，我们探索（a）如何最好地量化标记行为的不平衡并正式定义超级标记者，（b）超级标记者在标记模式上与其他用户有何不同，以及（c）动机和专业知识的影响是否能告知我们对超级标记者的理解。我们的研究结果表明，这些多产的用户不仅标记比他们的同行，但在量化不同的方式。具体来说，我们发现，supertaggers更有可能标签内容的长尾不太受欢迎的项目，他们显示的内容标记和使用的术语的模式的差异，并可测量不同的标记专业知识和动机。这些研究结果表明，我们应该质疑大众分类通过“群众的智慧”实现众包分类的程度，特别是对于像Last.fm这样的广泛的大众分类，而不是像Flickr这样的狭隘的大众分类。
英文摘要：
A folksonomy is ostensibly an information structure built up by the "wisdom of the crowd", but is the "crowd" really doing the work? Tagging is in fact a sharply skewed process in which a small minority of "supertagger" users generate an overwhelming majority of the annotations. Using data from three large-scale social tagging platforms, we explore (a) how to best quantify the imbalance in tagging behavior and formally define a supertagger, (b) how supertaggers differ from other users in their tagging patterns, and (c) if effects of motivation and expertise inform our understanding of what makes a supertagger. Our results indicate that such prolific users not only tag more than their counterparts, but in quantifiably different ways. Specifically, we find that supertaggers are more likely to label content in the long tail of less popular items, that they show differences in patterns of content tagged and terms utilized, and are measurably different with respect to tagging expertise and motivation. These findings suggest we should question the extent to which folksonomies achieve crowdsourced classification via the "wisdom of the crowd", especially for broad folksonomies like Last.fm as opposed to narrow folksonomies like Flickr.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
