Sociolinguistics in an increasingly technologized reality

IF 0.1 Q4 LINGUISTICS
Helen Kelly-Holmes
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引用次数: 0

Abstract

Abstract Digital media have become a mainstream source of data for sociolinguistics, reflecting the ubiquity of such media and the centrality of their role in people’s everyday speech as well as changed attitudes towards what constitutes a valid object of study in sociolinguistics. As our personal and professional reality becomes more technologized, there is, however, an urgent need to engage with a deeper understanding of the current and evolving digital economy underpinning this reality in order to assess critically the data that we now encounter. Trends such as personalization, securitization, and hierarchization, for example, mean that the sociolinguistic data we encounter are increasingly shaped by users’ digital identities. In the current digital economy, language is a key tool for steering, recording, and tracking these identities, for example, in the form of algorithms; however, the sociolinguistic dimension to these processes has not yet been explored fully. As well as more integrated approaches to studying digital sociolinguistic data, our increasingly technologized reality demands that we build algorithmic reflexivity into our teaching and our research.
社会语言学在日益技术化的现实
数字媒体已经成为社会语言学的主流数据来源,反映了这种媒体的无处不在及其在人们日常言语中的中心地位,以及对构成社会语言学有效研究对象的态度的变化。然而,随着我们的个人和职业现实变得越来越技术化,我们迫切需要更深入地了解支撑这一现实的当前和不断发展的数字经济,以便批判性地评估我们现在遇到的数据。例如,个性化、证券化和层次化等趋势意味着我们遇到的社会语言学数据越来越多地受到用户数字身份的影响。在当前的数字经济中,语言是引导、记录和跟踪这些身份的关键工具,例如,以算法的形式;然而,这些过程的社会语言学维度尚未得到充分探索。除了更综合的方法来研究数字社会语言学数据外,我们日益科技化的现实要求我们在教学和研究中建立算法反射性。
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19
审稿时长
53 weeks
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