Language, Psychological Traits and Social Environments in the Discursive Construction of Impulsivity and Control on X
Abstract
Abstract The study investigated the discursive construction of impulsivity and control on X, addressing a gap in understanding how linguistic choices reflect psychological dispositions and social dynamics in digital communication. The objectives were to examine how language performs impulsivity and control, analyse the psychological and emotional traits embedded in users’ discourse, and explore the influence of social environments on these linguistic behaviours. Drawing on Rapport Management Theory, psycholinguistic profiling, and sentiment analysis, the study adopted a mixed-methods design integrating qualitative discourse analysis with computational text mining. The data comprised public tweets collected from trending controversial and conflict-related topics on X between January and June 2025. From active participants in these discussions, a purposive sample of 5000 English-language tweets was selected based on relevance, interactional richness, and temporal responsiveness. Quantitative analysis employed Linguistic Inquiry and Word Count and Python-based sentiment mapping to track affective and cognitive markers and their relationship with response patterns, while qualitative analysis applied Rapport Management Theory and Discursive Psychology to interpret face management and self-regulatory practices. Findings showed that impulsivity was linguistically realised through spontaneous, emotionally charged, and confrontational utterances, whereas control was enacted through…
Read the paper
Related studies
- The neurocircuitry of addiction: an overview
- Gender Differences in Human Brain: A Review
- Stratified medicine for mental disorders
- The neurobiology of drug addiction: cross-species insights into the dysfunction and recovery of the prefrontal cortex
- Annual Research Review: DNA methylation as a mediator in the association between risk exposure and child and adolescent psychopathology
- Schizophrenia: The new etiological synthesis
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.