Mixed-methods study analyzes gendered language patterns in Instagram interactions, suggesting implications for online communication norms.
This study explores gendered language variation on Instagram discourse with regard to lexical choice, politeness strategies, use of emojis and hashtags, and engagement behaviors. Based on a corpus of posts and comments on Instagram, the study pursues a mixed-methods methodology that combines quantitative statistical analysis and qualitative discourse analysis. The findings reveal that female users practice emotionally expressive language, positive politeness markers, and community-oriented types of interaction, whereas male users enjoy assertive, humorous, and minimalist types of interaction. Statistical analysis reveals statistically significant differences between male and female users in terms of frequency of evaluative adjectives, self-referential pronouns, and emojis. Furthermore, hashtag research shows that women value self expression and social identification, while men use hashtags to mark achievement and expertise. These results verify existing sociolinguistic theory regarding gendered discourse as well as mirroring the fluid nature of communication on the internet. Instagram is found to mirror and rework classic gender roles, offering a platform on which linguistic stereotypes can be both reinforced and challenged. Future research must explore multimodal aspects of gendered communication and the role of non-binary identities in online communication.
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Farrukh Aminov (2026) studied this question.
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