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Digital Discourse and Identity: Exploring Linguistic Patterns in Language Identity Formation on Social Media

Author

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  • Mohmad Ashraf Bhat

    (Department of Foreign Languages, Faculty of Arts and Humanities, Jazan University, Jazan, Kingdom of Saudi Arabia)

Abstract

The rapid proliferation of digital communication has fundamentally altered the processes through which linguistic identities are constructed and negotiated. This study investigates the role of linguistic patterns in digital discourse in shaping identity across social media platforms, including Twitter (X), Instagram, and TikTok. Utilizing a qualitative discourse-analytic methodology, this research examines a corpus of 250 user-generated posts, concentrating on key features such as code-switching, translanguaging, lexical innovation, multimodality, and platform-specific language use. The findings indicate that identity in digital contexts is dynamic, fluid, and performative, emerging through the strategic deployment of linguistic resources and semiotic resources. Multilingual practices, particularly code-switching and translanguaging, enable users to construct hybrid identities that reflect both local affiliations and global orientations (García, 2009; Canagarajah, 2011). Lexical innovation and informal language serve as indicators of group membership and digital belonging (Crystal, 2006; Coulmas, 2005), whereas multimodal elements such as emojis and hashtags enhance affective expression and social positioning (Herring, 2004). The study further underscores the impact of platform affordances and audience design on linguistic behavior, demonstrating that identity construction is socially and technologically mediated (Androutsopoulos, 2015). Finally, the findings contribute to sociolinguistic and digital discourse research by illustrating how language functions as a flexible and strategic resource for constructing identity in digitally mediated environments.

Suggested Citation

Handle: RePEc:cxi:jlls00:v:4:y:2026:i:2:id:781
DOI: 10.61424/jlls.v4i2.781
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