{"title":"Computational Sociolinguistics: An Emerging Multidisciplinary Research Area","authors":"Amaia Perez-de-Arriluzea-Madariaga","doi":"10.1111/ijal.12696","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This article explores the multidisciplinary field of computational sociolinguistics (CSLX). A social network analysis through a bibliometric approach is employed to investigate the landscape of scholarly publications through a series of keyword queries related to ‘Computational Sociolinguistics’. The study analyses publications contributing to this research area, focusing on semantic content analysis. The methodology involves the extraction and processing of data from the database Web of Science followed by semantic similarity assessments and classifications of abstracts using advanced natural language processing techniques to map the thematic clusters within the field as well as co-authorship analysis. Key findings reveal significant multidisciplinarity in CSLX characterised by the integration of computational methods into sociolinguistic inquiries. The study identifies central topics and collaborative patterns, highlighting the influence of the computational profile over the sociolinguistic one. Conclusively, CSLX is positioned as an emerging field, with its development influenced by technological advancements and the increasing complexity of social interactions in computer-mediated communication.</p>\n </div>","PeriodicalId":46851,"journal":{"name":"International Journal of Applied Linguistics","volume":"35 3","pages":"1298-1313"},"PeriodicalIF":1.7000,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Applied Linguistics","FirstCategoryId":"98","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ijal.12696","RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
This article explores the multidisciplinary field of computational sociolinguistics (CSLX). A social network analysis through a bibliometric approach is employed to investigate the landscape of scholarly publications through a series of keyword queries related to ‘Computational Sociolinguistics’. The study analyses publications contributing to this research area, focusing on semantic content analysis. The methodology involves the extraction and processing of data from the database Web of Science followed by semantic similarity assessments and classifications of abstracts using advanced natural language processing techniques to map the thematic clusters within the field as well as co-authorship analysis. Key findings reveal significant multidisciplinarity in CSLX characterised by the integration of computational methods into sociolinguistic inquiries. The study identifies central topics and collaborative patterns, highlighting the influence of the computational profile over the sociolinguistic one. Conclusively, CSLX is positioned as an emerging field, with its development influenced by technological advancements and the increasing complexity of social interactions in computer-mediated communication.
本文探讨了计算社会语言学(CSLX)的多学科领域。通过文献计量学方法进行社会网络分析,通过一系列与“计算社会语言学”相关的关键字查询来调查学术出版物的景观。该研究分析了对这一研究领域有贡献的出版物,重点是语义内容分析。该方法包括从Web of Science数据库中提取和处理数据,然后使用先进的自然语言处理技术对摘要进行语义相似性评估和分类,以映射该领域内的主题集群以及共同作者分析。关键发现揭示了CSLX中显著的多学科性,其特征是将计算方法整合到社会语言学调查中。该研究确定了中心主题和合作模式,突出了计算剖面对社会语言学剖面的影响。最后,CSLX被定位为一个新兴领域,其发展受到技术进步和计算机媒介传播中日益复杂的社会互动的影响。
期刊介绍:
The International Journal of Applied Linguistics (InJAL) publishes articles that explore the relationship between expertise in linguistics, broadly defined, and the everyday experience of language. Its scope is international in that it welcomes articles which show explicitly how local issues of language use or learning exemplify more global concerns.