A Relevance Theoretic Analysis of English Image Macro Memes on Drugs and Addiction

Authors

  • Omar Rabea Mohammed Department of English, College of Languages, University of Baghdad
  • Rasha Abdul Reda Saeed Department of English, College of Languages, University of Baghdad

DOI:

https://doi.org/10.36586/jcl.2.2026.0.54.0151

Keywords:

cyberpragmatics, digital culture, drug-related memes, image macro memes, implicatures, incongruity-resolution, relevance theory

Abstract

This paper discusses how humour and meaning are created in English image macro memes on drugs and addiction. The memes that are referred to in this paper are internet image macro memes which are supported by texts, usually satirical or funny, and that are found on social media platforms. Twenty memes were collected from the internet and analysed using Yus’s (2021) incongruity-resolution model. This model is based on Relevance Theory by Sperber & Wilson (1995); it is a pragmatic theory that claims that people’s minds tend to select the most relevant information while exerting the least mental effort. The present study aims to observe how these memes make people laugh, and more significantly, how they also carry deeper or hidden messages. The analysis focuses on how each meme generates a certain cognitive frame, then breaks it in a surprising or funny way, and how viewers mentally resolve that surprise (incongruity). The findings show that this model helps explain how people understand and enjoy memes, especially when the message depends on both language and image. The paper concludes that this kind of humour can raise awareness of serious topics like drug addiction, while also entertaining the audience. Additionally, internet users share memes to comment on sensitive topics without being directly responsible for what they say.

References

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Published

2026-06-02

Issue

Section

Department of English language

How to Cite

A Relevance Theoretic Analysis of English Image Macro Memes on Drugs and Addiction. (2026). Journal of the College of Languages (JCL), 54, 151-179. https://doi.org/10.36586/jcl.2.2026.0.54.0151

Publication Dates

Received

2025-10-04

Accepted

2025-12-11

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