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Linguistic Studies on Social Media: A Bibliometric Analysis

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  • Ya Sun
  • Gongyuan Wang
  • Haiying Feng

Abstract

This study aimed to present the status quo of linguistic studies on social media in the past decade. In particular, it conducted a bibliometric analysis of articles from the field of linguistics of the database of Web of Science Core Collection with the aid of the tool CiteSpace to identify the general characteristics, major strands of linguistics, main research methods, and important research themes in the area of linguistic studies on social media. The main findings are summarized as follows. First, the study reported the publication trend, main publication venues, researched social media platforms, and languages used in researched social media. Second, sociolinguistics and pragmatics were found to be major strands of linguistics used in relevant studies. Third, the study identified seven main research methods: discourse analysis, critical discourse analysis, conversation analysis, multimodal analysis, narrative analysis, ethnographic analysis, and corpus analysis. Fourth, important research themes were extracted and classified based on four dimensions of the genre framework of social media studies. They were the participation nature and technology affordances of social media in the dimension of compositional level, the researched topics of education, (language) policy and politics in the dimension of thematic orientations, the researched discursive practices of (im)politeness, humor, indexicality and multilingualism in the dimension of stylistic traits, and the researched communicative functions of constructing identity, communicating (language) ideology, and expressing attitude in the pragmatic dimension. Moreover, linguistic studies on social media tended to be characterized by cross-disciplinary and mixed-method approaches.

Suggested Citation

  • Ya Sun & Gongyuan Wang & Haiying Feng, 2021. "Linguistic Studies on Social Media: A Bibliometric Analysis," SAGE Open, , vol. 11(3), pages 21582440211, September.
    • Handle: RePEc:sae:sagope:v:11:y:2021:i:3:p:21582440211047572
    DOI: 10.1177/21582440211047572
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    References listed on IDEAS

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    1. Chang-Ping Hu & Ji-Ming Hu & Yan Gao & Yao-Kun Zhang, 2011. "A journal co-citation analysis of library and information science in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 657-670, March.
    2. Cade, Nicole L., 2018. "Corporate social media: How two-way disclosure channels influence investors," Accounting, Organizations and Society, Elsevier, vol. 68, pages 63-79.
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