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Using social media to measure language use

机译:使用社交媒体衡量语言使用

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摘要

Investigations of language use in multilingual regions are traditionally done through the usage of retrospective questionnaires, either distributed on paper, or digitally. The aim of the present study was to test a new method of measuring language choice and use: by using social media to contact individuals several times a day and ask them what language(s) they are using, how, and with whom. It was investigated whether this method could provide real-time data on an individual's language use. One hundred participants living in the Netherlands were given a language background questionnaire and were asked to provide information through Facebook (R). It was found that the social media data generally reflect the questionnaire data. More importantly, the social media data include more exact information on cases of codemixing and allow to compile a typology of language contact situations. It was concluded that social media inquiries could prove useful in future language use studies. Methodological issues, in particular concerning privacy and problems related to crowd sourcing of language data through social media, are discussed.
机译:传统上,通过使用纸质或数字形式的回顾性问卷调查来调查多语言区域的语言使用情况。本研究的目的是测试一种衡量语言选择和使用的新方法:通过使用社交媒体每天与个人联系几次,并询问他们使用的是哪种语言,如何使用以及与谁一起使用。研究了这种方法是否可以提供有关个人语言使用的实时数据。为一百名居住在荷兰的参与者提供了语言背景调查表,并要求他们通过Facebook(R)提供信息。发现社交媒体数据通常反映出问卷数据。更重要的是,社交媒体数据包括有关代码混合情况的更准确信息,并允许汇编语言联系情况的类型。得出的结论是,社交媒体查询在将来的语言使用研究中可能会有用。讨论了方法论问题,特别是有关隐私的问题以及与通过社交媒体众包语言数据有关的问题。

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