Imperatives in Past Online Discussions: Another Helpful Source for Community Newcomers?

Imperatives in Past Online Discussions: Another Helpful Source for Community Newcomers?
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过去在线讨论的必要性:对社区新人来说另一个有用的资源?

DOI:
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发表时间:
2019
期刊:
Hawaii International Conference on System Sciences
影响因子:
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通讯作者:
J. Nickerson
J. Nickerson
中科院分区:
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文献类型:
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作者:
Lu Xiao;J. Nickerson

文献摘要

被引文献

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在线社区中有经验的成员通过讨论让新人熟悉规范。这些成员使用祈使句,一种指示性的言语行为,来建议一个行动方针。本文描述了一种自动识别此类命令的方法。将该算法的识别性能与人类读者的识别性能进行了比较。此外,为了测试和说明该技术,我们提取、分析和讨论了维基百科删除讨论示例中的命令。这种方法不仅可以用来了解一个社区的文化和习俗,还可以用来获取对社区新来者有益的信息。
Experienced members of online communities use discussion to familiarize newcomers with norms. These members use imperatives, a kind of directive speech act, to suggest a course of action. A method for automatically recognizing such imperatives is described here. The recognition performance of the algorithm is compared to that of human readers. In addition, to test and illustrate the technique, the imperatives in a sample of Wikipedia deletion discussions are extracted, analyzed, and discussed. The method may be used not only to understand a community’s culture and practices but also to elicit information that is beneficial to the community’s newcomers.