Emojis, Hashtags, and Code-Switching: A Literary-Linguistic Analysis of Multimodal Digital Textuality
Year: 2025
Type: article
Abstract: This article examines emojis, hashtags, and code-switching as core semiotic resources in twenty-first-century digital communication rather than peripheral embellishments. Drawing on a qualitative multimodal discourse analysis, we analyze a purposefully sampled corpus of 300 public posts from Twitter/X and Instagram (2021–2023) selected via the keywords MeToo, WorkLifeBalance, and StudentLife; posts were included if they contained at least one emoji and evidence of a hashtag or code-switching. Analysis proceeded in three stages: (1) identifying the linguistic/pragmatic functions of each resource; (2) interpreting their aesthetic and literary affordances; and (3) situating their interaction within broader sociocultural frameworks. Findings indicate that emojis primarily index stance and tone—including patterned uses of affect and irony—while hashtags operate as indexical “refrains” that structure participation and intertextual linkage; intrasentential and tag-level code-switching, in turn, performs identity work and audience design, producing polyphonic, hybrid utterances. Taken together, these resources foreground the multimodal, participatory character of contemporary textuality, complicating canonical distinctions between speech and writing. The study argues for treating online discourse as both a linguistic phenomenon and a vernacular literary form, and outlines implications for sociolinguistics (integrating translanguaging and multimodality into analytic units) and literary studies (extending close reading to networked, ephemeral texts).
Authors: Sehar, Jabeen, Sehar, Khalid, Zakra, Nadeem
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7087006156
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