This paper presents an analysis of the anti-vaccination movement’s referencing of research articles on the topic of vaccination in the social media network Twitter. Drawing on the concept of bibliographic coupling, the paper demonstrates how Twitter users can be coupled based on articles mentioned on Twitter. The sample applied consists of 113 open access journal articles. The combination of tweeter coupling with the respective stance of Twitter accounts vis-à-vis vaccination makes possible the creation of a network graph of tweeters mentioning this corpus of articles. In addition to a common interest in the scientific literature, the findings show distinct communities of shared interests within the anti-vaccination movement, and demonstrate that tweeter coupling can be used to map these distinctive interests. The emergence of Twitter accounts serving as cognitive bridges within and between communities is noted and discussed with regard to their relative positions in the network. This paper’s results extend the knowledge on the application of altmetric data to study the interests of non-scientific publics in science; more specifically, it adds to the understanding of the potentials of open science and science–society interactions arising from increased access by non-scientists to scientific publications.

中文翻译：

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共同利益社区和认知桥梁：推特上的反疫苗运动案例

本文分析了反疫苗运动对社交媒体网络 Twitter 中有关疫苗接种主题的研究文章的引用。本文借鉴书目耦合的概念，展示了如何基于 Twitter 上提到的文章来耦合 Twitter 用户。应用的样本包括 113 篇开放获取期刊文章。将高音扬声器与 Twitter 帐户在疫苗接种方面的各自立场相结合，可以创建提及此文章语料库的高音扬声器网络图。除了对科学文献的共同兴趣外，研究结果还显示了反疫苗运动中不同的共同兴趣社区，并证明了高音扬声器耦合可用于映射这些独特的兴趣。Twitter 帐户作为社区内部和社区之间的认知桥梁的出现被注意到并讨论了它们在网络中的相对位置。本文的结果扩展了应用altmetric数据来研究非科学公众对科学的兴趣的知识；更具体地说，它增加了对开放科学和科学-社会互动潜力的理解，这是因为非科学家越来越多地获取科学出版物。