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Bridging Languages in Social Networks: How Multilingual Users of Twitter Connect Language Communities?

机译:桥接语言在社交网络中:Twitter如何连接语言社区的多语种用户?

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Multilingual users of social media and social networking sites are invisible - even unconscious - translators. Their language skills and multicultural background could help diminish the segmentation of information spheres online by connecting different language communities. Focusing on the microblogging site Twitter, this study aims at defining and classifying language bridges by looking at the languages and structure of the social networks of multilingual individuals. The social network analysis unveils four types of structures, one of which is defined as a language bridge. The next step of this work in progress aims at providing quantitative measures of this phenomenon, which has not been yet properly described or understood.
机译:社交媒体和社交网站的多语种用户是看不见的 - 甚至是无意识的翻译。 他们的语言技能和多元文化背景可以通过连接不同的语言社区来帮助减少信息领域的细分。 专注于微博站点推特,本研究旨在通过查看多种语言人的社交网络的语言和结构来定义和分类语言桥梁。 社交网络分析推出了四种类型的结构,其中一个是一种语言桥。 这项工作的下一步进步旨在提供这种现象的定量措施,这尚未正确地描述或理解。

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