Bridging Nations: Quantifying the Role of Multilinguals in Communication on Social Media

Julia Mendelsohn, Sayan Ghosh, David Jurgens, Ceren Budak
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Abstract

Social media enables the rapid spread of many kinds of information, from pop culture memes to social movements. However, little is known about how information crosses linguistic boundaries. We apply causal inference techniques on the European Twitter network to quantify the structural role and communication influence of multilingual users in cross-lingual information exchange. Overall, multilinguals play an essential role; posting in multiple languages increases betweenness centrality by 13%, and having a multilingual network neighbor increases monolinguals’ odds of sharing domains and hashtags from another language 16-fold and 4-fold, respectively. We further show that multilinguals have a greater impact on diffusing information is less accessible to their monolingual compatriots, such as information from far-away countries and content about regional politics, nascent social movements, and job opportunities. By highlighting information exchange across borders, this work sheds light on a crucial component of how information and ideas spread around the world.
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桥梁国家:量化多语言在社交媒体沟通中的作用
社交媒体使多种信息迅速传播,从流行文化表情包到社会运动。然而,人们对信息如何跨越语言界限知之甚少。我们在欧洲Twitter网络上应用因果推理技术来量化多语言用户在跨语言信息交换中的结构角色和传播影响。总的来说,多语者发挥着至关重要的作用;用多种语言发帖可以将中间性中心性提高13%,拥有多语言网络邻居可以将单语者分享另一种语言的域和标签的几率分别提高16倍和4倍。我们进一步表明,多语者对传播信息有更大的影响,这些信息是单语同胞难以获得的,例如来自遥远国家的信息和有关地区政治、新兴社会运动和就业机会的内容。通过强调跨境信息交流,这项工作揭示了信息和思想如何在世界范围内传播的一个关键组成部分。
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