Do I Trust this Stranger? Generalized Trust and the Governance of Online Communities

Jérôme Hergueux, Y. Algan, Y. Benkler, M. F. Morell
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引用次数: 1

Abstract

Online peer production communities such as Wikipedia typically rely on a distinct class of users, called administrators, to enforce cooperation when good faith collaboration fails. Assessing one’s intentions is a complex task, however, especially when operating under time-pressure with a limited number of (costly to collect) cues. In such situations, individuals typically rely on simplifying heuristics to make decisions, at the cost of precision. In this paper, we hypothesize that administrators’ community governance policy might be influenced by general trust attitudes acquired mostly out of the Wikipedia context. We use a decontextualized online experiment to elicit levels of trust in strangers in a sample of 58 English Wikipedia administrators. We show that low-trusting admins exercise their policing rights significantly more (e.g., block about 81% more users than high trusting types on average). We conclude that efficiency gains might be reaped from the further development of tools aimed at inferring users’ intentions from digital trace data.
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我该相信这个陌生人吗?广义信任与网络社区治理
像维基百科这样的在线对等生产社区通常依赖于一个被称为管理员的独特用户类别,当善意的合作失败时,他们会强制执行合作。然而,评估一个人的意图是一项复杂的任务,尤其是在有限数量(收集成本很高)的线索的时间压力下。在这种情况下,个人通常依靠简化的启发式来做出决定,代价是准确性。在本文中,我们假设管理员的社区治理政策可能会受到一般信任态度的影响,这些信任态度主要来自维基百科的背景。我们使用了一个非语境化的在线实验,在58个英文维基百科管理员的样本中引出了对陌生人的信任程度。我们表明,低信任的管理员明显更多地行使他们的监管权利(例如,平均阻止约81%的用户比高信任类型)。我们的结论是,效率的提高可能会从旨在从数字跟踪数据推断用户意图的工具的进一步发展中获得。
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