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Lurker demographics: Counting the silent

机译:潜伏人口统计:默默无闻

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摘要

As online groups grow in number and type, understanding lurking is becoming increasingly important. Recent reports indicate that lurkers make up over 90% of online groups, yet little is known about them. This paper presents a demographic study of lurking in email-based discussion lists (DLs) with an emphasis on health and software-support DLs. Four primary questions are examined. One, how prevalent is lurking, and do health and software-support DLs differ? Two, how do lurking levels vary as the definition is broadened from zero posts in 12 weeks to 3 or fewer posts in 12 weeks? Three, is there a relationship between lurking and the size of the DL, and four, is there a relationship between lurking and traffic level? When lurking is defined as no posts, the mean lurking level for all DLs is lower than the reported 90%. Health-support DLs have on average significantly fewer lurkers (46%) than software-support DLs (82%). Lurking varies widely ranging from 0 to 99%. The relationships between lurking, group size and traffic are also examined.
机译:随着在线团体的数量和类型的增长,对潜伏者的了解变得越来越重要。最近的报告表明,潜伏者占在线群体的90%以上,但对其知之甚少。本文介绍了潜伏在基于电子邮件的讨论列表(DL)中的人口统计研究,重点是健康和软件支持DL。研究了四个主要问题。第一,潜伏的流行程度如何?运行状况和软件支持的DL是否有所不同?第二,随着定义从12周的零职位扩大到12周的3个或更少职位,潜伏水平会如何变化?第三,潜伏与DL的大小之间是否存在关系,第四,潜伏与流量水平之间是否存在关系?如果将潜伏定义为无员额,则所有DL的平均潜伏水平都低于报告的90%。健康支持DL的潜伏者(46%)平均少于软件支持DL(82%)。潜伏变化很大,范围从0到99%。还检查了潜伏,团队规模和流量之间的关系。

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