CHS: Small: A Genealogical Framework to Understand the Emergence of Online Groups

CHS：小型：理解在线群体出现的谱系框架

• 批准号: 1910225
• 负责人: Brian Keegan
• 金额: $ 49.97万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1910225&HistoricalAwards=false
• 关键词: CHS; Small; Genealogical; Framework; Understand

The project will study the emergence of online groups by examining their overlooked but important connections to existing groups. New online groups do not appear spontaneously, but are created by users who participated in existing online groups. A new group's early members carry their own activity history, which reveals their past group memberships as well as the relations between existing groups and this new group. The ability to trace the behavior of users before they start new groups presents a unique opportunity to understand how new groups emerge, how social norms arise in new groups, and what factors contribute to the success of new groups. This research will quantitatively model the genealogical relationships between online groups by tracing the sociotechnical lineage of "child" groups through their early members' previous participation in "parent" groups. Platform administrators or group moderators can use genealogical approaches for adopting existing norms in other groups, recommending new groups to users, and identifying opportunities to create new groups. A genealogical perspective can also explain the variability in group success as well as how norms spread throughout online groups. This work will enable transformative changes in online communities, either via redesign of their platforms or through implementation of new community policies.The project draws on theories about formation of online communities, organizational ecology, and kinship to explore how a group's position within a genealogical graph influences the group's identity, norms, and success. This research will analyze log data about user behavior over time from Reddit and Wikipedia. Aggregating the socio-technical lineages of multiple groups together generates a genealogical graph documenting how new groups emerge from the old. These genealogies will be evaluated across platforms, users, and time. The project will advance human-centered data science methods by employing qualitative methods, such as interviews and focus groups, to validate the proposed genealogical graphs, which will inform quantitative methods for building genealogy graphs from large-scale log data sets and analyzing their structure and dynamics.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目将通过检查在线群体与现有群体之间被忽视但重要的联系来研究在线群体的出现。新的在线群不是自发出现的，而是由参与现有在线群的用户创建的。一个新群体的早期成员携带着他们自己的活动历史，这些历史揭示了他们过去的群体成员身份以及现有群体与这个新群体之间的关系。在用户开始新的群组之前跟踪他们的行为的能力提供了一个独特的机会，可以了解新的群组是如何出现的，社会规范是如何在新的群组中产生的，以及哪些因素有助于新群组的成功。这项研究将通过追踪“儿童”群体的社会技术谱系，通过他们早期成员以前参与“父母”群体的情况，对在线群体之间的谱系关系进行定量建模。平台管理员或组管理员可以使用谱系学方法在其他组中采用现有规范，向用户推荐新组，并确定创建新组的机会。谱系学的观点也可以解释团队成功的变异性，以及规范如何在整个在线团队中传播。这项工作将使在线社区发生变革性的变化，无论是通过重新设计他们的平台，还是通过实施新的社区政策。该项目借鉴了关于在线社区形成、组织生态和亲属关系的理论，以探索一个群体在谱系图中的位置如何影响该群体的身份、规范和成功。这项研究将分析Reddit和维基百科上一段时间内有关用户行为的日志数据。将多个群体的社会技术谱系聚合在一起，就会生成一个谱系图，记录新群体是如何从旧群体中脱颖而出的。这些谱系将跨平台、用户和时间进行评估。该项目将通过使用定性方法，如访谈和焦点小组，来推进以人为中心的数据科学方法，以验证拟议的系谱图，这将为从大规模日志数据集构建系谱图并分析其结构和动态的量化方法提供信息。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Understanding the Diverging User Trajectories in Highly-related Online Communities during the COVID-19 Pandemic

了解 COVID-19 大流行期间高度相关的在线社区中不同的用户轨迹

• 发表时间: 2021
• 期刊: Proceedings of the International AAAI Conference on Weblogs and Social Media
• 作者: Zhang, J.S.;Keegan, B.;Lv, Q.;Tan, C.
• 通讯作者: Tan, C.