Decoding Digital Hostility: Non-Verbal Mechanisms of Hate Speech in Electronic Discourse

Abstract

The study investigates how non-verbal elements such as emojis function as vehicles of hate speech in digital communication. While hate speech has traditionally been defined through verbal or textual aggression, contemporary online environments reveal a broader, multimodal landscape where hostility is often conveyed implicitly through images, icons, and affective cues. Drawing on qualitative multimodal discourse analysis, this research integrates approaches from critical discourse analysis and social semiotics to examine how the mentioned non-verbal sign contributes to the expression and circulation of hate in electronic discourse. Data are drawn from publicly available media posts and analysed for recurring semiotic patterns, cultural symbolism, and the interplay between textual and visual modes. The study explores how users employ non-verbal cues to reinforce stereotypes, exclude social groups, or express aggression. By illuminating the subtle ways hate operates beyond language, this research emphasizes the need to expand definitions of hate speech to encompass multimodal dimensions of online communication. Ultimately, the study contributes to a deeper understanding of how digital symbols shape affective interaction and ideological meaning in contemporary electronic discourse.