In this project, we describe a method of modeling semantic leadership across a set of communities associated with the #BlackLivesMatter movement, which has been informed by qualitative research on the structure of social media and Black Twitter in particular. We describe our bespoke approaches to time-binning, community clustering, and connecting communities over time, as well as our adaptation of state-of-the-art approaches to semantic change detection and semantic leadership induction. We find substantial evidence of the leadership role of BLM activists and progressives, as well as Black celebrities. We also find evidence of the sustained engagement of the conservative community with this discourse, suggesting an alternative explanation for how we arrived at the present moment, in which "anti-woke" and "anti-CRT" bills are being enacted nationwide.

翻译：在本项目中，我们描述了一种对与#BlackLivesMatter运动相关的一系列社区中的语义领导力进行建模的方法，该方法借鉴了关于社交媒体（特别是黑人推特）结构的定性研究。我们阐述了我们在时间分箱、社区聚类以及跨时间社区连接方面的定制化方法，以及我们对最先进的语义变化检测和语义领导力归纳方法的适应性调整。我们发现了大量证据表明BLM活动人士、进步人士以及黑人名人的领导作用。我们还发现了保守派社区持续参与此话语的证据，这为解释我们如何抵达当前时刻——即“反觉醒”和“反批判性种族理论”法案正在全国范围内颁布——提供了一种替代性解释。