The early stages of the COVID-19 pandemic required a dramatic change in social practices, including distancing from social settings, to limit its spread. While social capital has considerable potential in facilitating the adoption of these norms, it also comes with considerable limitations that potentially undermine its effectiveness. We draw upon recently released mobility data from Google, network data from Facebook, and demographic data from the 2018 American Community Survey to determine how both organizational and networked measures of social capital relate to different forms of distancing. In addition, we employ geographically weighted regression to identify how these relationships vary across the nation. Findings indicate that while both forms of social capital can positively relate to distancing, the impacts are spatially inconsistent and, in some locations, social capital can discourage distancing. In sum, more policy efforts are needed to address not only low-social capital, but also unhelpful social capital.

COVID-19 大流行的早期阶段要求社会实践发生巨大变化，包括远离社会环境，以限制其传播。虽然社会资本在促进这些规范的采用方面具有相当大的潜力，但它也有相当大的局限性，可能会破坏其有效性。我们利用谷歌最近发布的移动数据、Facebook 的网络数据和 2018 年美国社区调查的人口统计数据来确定社会资本的组织和网络测量如何与不同形式的距离相关。此外，我们采用地理加权回归来确定这些关系在全国范围内的变化。研究结果表明，虽然两种形式的社会资本都可以与疏远正相关，但其影响在空间上是不一致的，并且，在某些地方，社会资本可以阻止疏远。总之，需要更多的政策努力来解决社会资本低下和无益的社会资本问题。