LINGUISTIC AND VISUAL TRENDS IN SOCIAL MEDIA: A MULTIMODAL NLP-BASED CORPUS STUDY
Keywords:
Corpus Linguistics, Digital Narratives, Emotional Engagement, Multimodal Discourse, Neuro-Linguistic Programming (NLP)Abstract
The present study explores the application of the Neuro-Linguistic Programming (NLP) techniques within the context of multimodal social media communication. 1000 social media posts of the 2021- 2024 period are the focus of analysis, that is, the relationship between linguistic patterns, visual elements, and emotional engagement. Specifically, with use of NLP frameworks especially framing, anchoring and reframing, the study notes the deliberate employment of emotive language and referencing (e.g. use of emojis and pictures) in manipulating responses from the audience. The results indicate that positive language and visual symbolism drastically boosts user engagement, as posts using NLP techniques had 42% higher rates of interactions. The study goes even further to show how effective multimodal communication, when well-positioned with NLP principles, creates better emotional ties and promotes greater engagement. The findings provide some ideas concerning the impact of combining linguistic and visual persuasion methods on digital behavior and online user engagement. This research adds to the increasing collection of knowledge on NLP in digital communication and its possible uses to improve social media marketing and educational content.
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Copyright (c) 2025 Abdul Ghafoor, Iqra Haneef , Nasira Farid (Author)
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