寻找共同点:Bluesky 入门包中的分级公共知识
Finding Common Ground: Graded Communal Knowledge in Bluesky Starter Packs
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中文总结 AI 辅助
本研究利用Bluesky入门包作为社区标签,验证了公共共同点的分级性,发现共享词汇库随共享包数量单调增长,且社区共同成员关系独立于网络邻近性,为大规模观测共同点提供了新途径。
中文摘要 AI 辅助
交流之所以成为可能,是因为存在共同点——人们彼此共享并预设的未言明知识,无论是在线上还是线下。在其关于共同点的概念中,Clark(1996)区分了个人共同点和公共共同点,并断言后者是分级的:两个人共享的社区关联越多,他们共享的共同点也越多。社交媒体研究已引用这一机制来解释用户如何建立联系,但由于社区成员身份很少可见,且即使可见,它们也与用户互动相耦合,导致效应混淆,因此该机制在很大程度上未经验证。为规避这些挑战,本研究将Bluesky入门包(SPs)重新用作由用户策展的社区关联标签。在191,648对用户中,我们表明共享词汇库——我们衡量共同点的代理指标——随用户共享的SP数量单调增长,共享单个包的用户其相似度约为同等连接但互不相识的陌生人的两倍。对SP共同成员关系的语义重整化进一步表明,共同点的分级更多取决于主题上不同的社区数量,而非原始计数。最后,我们表明社区共同成员关系对共同点的贡献独立于Bluesky关注网络中的邻近性。这些结果得出结论:社区成员身份是共同点的一种可测量、可分离且语义结构化的载体。如此解读,使得共同点在交流之前即可观察,而非从交流中推断,从而为一系列迄今为止仅在实验室中提出的问题开辟了大规模观测研究的大门。
英文摘要
Communication is made possible by common ground---the unspoken knowledge that people share and presuppose of one another, whether that be online or offline. In his conception of common ground, Clark (1996) distinguishes between personal and communal common ground, and asserts that the latter is graded: the more community affiliations two people share, the more common ground they share as well. Social media research has invoked this mechanism to explain how users connect, but it has gone largely untested because community memberships are rarely visible and, where they are, they are coupled to user interactions in a way that leads to conflating effects. To circumvent these challenges, this study repurposes Bluesky starter packs (SPs) as user-curated community affiliation labels. Across 191,648 pairs of users, we show that shared lexical repertoire---our proxy for common ground---grows monotonically with the number of SPs that users share, with users sharing a single pack being roughly twice as similar as equally connected strangers. A semantic renormalization of SP co-membership shows furthermore that it is more so the number of topically \emph{distinct} communities, rather than the raw count, in which common ground is graded. Finally, we show that community co-membership adds to common ground independently of proximity in the Bluesky follow network. These results lead to the conclusion that community membership is a measurable, separable, and semantically structured carrier of common ground. Reading it as such makes common ground observable before an exchange rather than inferred from it, and thus opens the door for large-scale observational approaches to a set of questions that have so far only been posed in the laboratory.
发表机构
- Northeastern University(东北大学)
- Boston Children’s Hospital(波士顿儿童医院)
- University of Maryland, College Park(马里兰大学帕克分校)
- University of Virginia(弗吉尼亚大学)
- University of Vermont(佛蒙特大学)
机构由 AI 辅助整理,请以论文原文为准。