Deconstructing WhatsApp Emojis and Emotions through Semiotic Principles' Prisms

Emojis have become an integral part of everyday digital communication, yet their deeper semiotic and emotional complexities remain underexplored. This study investigates how WhatsApp emojis function as semiotic signs, conveying and shaping emotional meaning in digital interactions. Drawing on Saussurean structural semiotics and Peircean triadic semiotics, the research examines how users encode, interpret, and negotiate emotions through emojis, considering cultural, generational, and relational contexts. A qualitative exploratory design was employed, combining digital ethnography and semiotic analysis of anonymised WhatsApp chat histories from twenty purposively selected participants aged 18–35, supplemented by semi-structured interviews. This study analysed 20 chat histories, and focused on the denotative and connotative meanings of emojis and their interaction with textual messages to convey humour, affection, frustration, and relational nuance. Findings reveal that emojis operate as multimodal communicative tools whose meanings are context-dependent, culturally mediated, and relationally nuanced. They enhance emotional expression, complement or substitute verbal text, and function as complex signs characterised by arbitrariness, iconicity, indexicality, and social convention. The study contributes to the literature by providing a comprehensive semiotic understanding of WhatsApp emoji use among Nigerian users, grounded in authentic chat interactions, highlighting the role of visual-emotional literacy in contemporary digital communication. Practical implications include the need for emoji literacy in communication training, culturally sensitive platform design, and user awareness of context to avoid miscommunication.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-16
DOI
https://doi.org/10.5281/zenodo.17365354
Primary Topic
Digital Communication and Language
Type
article
Field-Weighted Citation Impact
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article

Deconstructing WhatsApp Emojis and Emotions through Semiotic Principles' Prisms

Zenodo (CERN European Organization for Nuclear Research)
Digital Communication and Language
article

Deconstructing WhatsApp Emojis and Emotions through Semiotic Principles' Prisms

article en

Abstract

Emojis have become an integral part of everyday digital communication, yet their deeper semiotic and emotional complexities remain underexplored. This study investigates how WhatsApp emojis function as semiotic signs, conveying and shaping emotional meaning in digital interactions. Drawing on Saussurean structural semiotics and Peircean triadic semiotics, the research examines how users encode, interpret, and negotiate emotions through emojis, considering cultural, generational, and relational contexts. A qualitative exploratory design was employed, combining digital ethnography and semiotic analysis of anonymised WhatsApp chat histories from twenty purposively selected participants aged 18–35, supplemented by semi-structured interviews. This study analysed 20 chat histories, and focused on the denotative and connotative meanings of emojis and their interaction with textual messages to convey humour, affection, frustration, and relational nuance. Findings reveal that emojis operate as multimodal communicative tools whose meanings are context-dependent, culturally mediated, and relationally nuanced. They enhance emotional expression, complement or substitute verbal text, and function as complex signs characterised by arbitrariness, iconicity, indexicality, and social convention. The study contributes to the literature by providing a comprehensive semiotic understanding of WhatsApp emoji use among Nigerian users, grounded in authentic chat interactions, highlighting the role of visual-emotional literacy in contemporary digital communication. Practical implications include the need for emoji literacy in communication training, culturally sensitive platform design, and user awareness of context to avoid miscommunication.

Zenodo (CERN European Organization for Nuclear Research)
Edo State University Uzairue (NG)
Quality Education
Openalex Percentile: Top 44%
Digital Communication and Language
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