禁忌与协作知识生产：来自维基百科的证据
Taboo and Collaborative Knowledge Production: Evidence from Wikipedia
AI总结：
本文通过分析维基百科中的禁忌主题文章，探讨了禁忌话题在同伴生产知识库中的影响，发现禁忌文章尽管面临更多破坏，但质量更高。
摘要：
根据定义，人们往往不愿或甚至不愿意谈论禁忌话题。由于性、健康和暴力等主题在大多数文化中都是禁忌，因此这些主题的重要信息可能难以获取。同伴生成的知识库，如维基百科，是否是为人们提供关于禁忌话题信息的一种有前途的方法？由于其依赖于可能对禁忌话题也持抵触态度的志愿者，同伴生产模式能否产生高质量的禁忌话题信息？本文旨在了解禁忌在由志愿者生产的知识库中的作用。我们通过开发一种新的计算方法来识别禁忌主题，并利用该方法在英文维基百科中识别出一组禁忌主题的文章。我们发现，禁忌主题的文章比非禁忌主题的文章更受欢迎，并且经常被破坏。尽管频繁的破坏攻击，我们还发现禁忌文章的质量高于非禁忌文章。我们假设，社会污名化的态度将导致对禁忌话题的贡献者试图减少自己的可识别性。尽管我们的结果在某些方面与这一假设一致，我们却意外发现贡献者在其他人中使自己更加可识别。
英文摘要：
By definition, people are reticent or even unwilling to talk about taboo subjects. Because subjects like sexuality, health, and violence are taboo in most cultures, important information on each of these subjects can be difficult to obtain. Are peer produced knowledge bases like Wikipedia a promising approach for providing people with information on taboo subjects? With its reliance on volunteers who might also be averse to taboo, can the peer production model produce high-quality information on taboo subjects? In this paper, we seek to understand the role of taboo in knowledge bases produced by volunteers. We do so by developing a novel computational approach to identify taboo subjects and by using this method to identify a set of articles on taboo subjects in English Wikipedia. We find that articles on taboo subjects are more popular than non-taboo articles and that they are frequently vandalized. Despite frequent vandalism attacks, we also find that taboo articles are higher quality than non-taboo articles. We hypothesize that stigmatizing societal attitudes will lead contributors to taboo subjects to seek to be less identifiable. Although our results are consistent with this proposal in several ways, we surprisingly find that contributors make themselves more identifiable in others.
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。
