Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities
Science, AskScience, and BadScience: On the Coexistence of Highly Related Communities
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Science、AskScience 和 BadScience：论高度相关社区的共存
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Lillian Lee
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文献类型：
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作者：
Jack Hessel;Chenhao Tan;Lillian Lee
当大型社交媒体平台允许用户轻松地形成和自我组织成兴趣小组时，高度相关的社区就会出现。例如，Reddit网站上不仅有一个名为food的群组，还有HealthyFood、foodhacks、foodporn和cooking等群组。这些高度相关的社区是否是出于类似的原因而创建的（例如，聚焦于一个副主题，为所谓的更“高尚”的话语创造一个空间，等等）？当这些相近的选项可用或随着时间的推移出现时，用户如何在它们之间分配注意力？是否有不同类型的关系之间的密切替代品，如共享许多用户与一个新的社区吸引了一个老的成员与分裂组未能凝聚成一个可行的独立社区？我们使用来自reddit.com的数据调查了高度相关的社区之间的互动，这些数据包括跨越8年的9.75亿条帖子和评论。我们确定了一组典型的词缀，用户采用创建高度相关的社区，并建立一个词缀分类。关于用户行为的一个有趣的发现是：在创建新的社区之后，对于几种类型的高度相关的社区对，参与新社区的用户往往比不探索的用户在其原始社区中更活跃，即使在控制先前的参与程度时。
When large social-media platforms allow users to easily formand self-organize into interest groups, highly related communities can arise. For example, the Reddit site hosts not just a group called food, but also HealthyFood, foodhacks,foodporn, and cooking, among others. Are these highly related communities created for similar classes of reasons (e.g.,to focus on a subtopic, to create a place for allegedly more “high-minded” discourse, etc.)? How do users allocate attention between such close alternatives when they are available or emerge over time? Are there different types of relations between close alternatives such as sharing many users vs. a new community drawing away members of an older one vs. a splinter group failing to cohere into a viable separate community? We investigate the interactions between highly related communities using data from reddit.com consisting of 975M posts and comments spanning an 8-year period. We identify a set of typical affixes that users adopt to create highly related communities and build a taxonomy of affixes. One interesting finding regarding users’ behavior is: after a newer community is created, for several types of highly-related community pairs, users that engage in a newer community tend to be more active in their original community than users that do not explore, even when controlling for previous level of engagement.