Interpersonal judgment in digital media

lexico-grammatical patterns and applications in public perception monitoring

Authors

DOI:

https://doi.org/10.22633/rpge.v30i00.21192

Keywords:

Appraisal, Interpersonal judgment, Digital media, Mixed methods, Public policy

Abstract

Violent events generate wide repercussion in digital environments, mobilize intense public reactions, and produce large volumes of evaluative texts. In this context, this article aims to analyze lexico-grammatical patterns associated with interpersonal judgment in digital media. The study is grounded in Systemic Functional Linguistics and adopts a Mixed Methods Research approach, integrating qualitative and quantitative procedures. The corpus consists of approximately 570,000 tweets collected after a high-profile event that occurred in 2020. The results highlight linguistic strategies in the construction of social sanctions directed at individuals and institutions, as well as the recurrence of discursive patterns associated with public accountability. It is concluded that the proposed model shows potential for monitoring public perceptions and for the use of large-scale digital data, contributing to analyses aimed at the formulation and evaluation of evidence-based public policies.

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Author Biography

Leandro Ataíde Barbosa de Oliveira, Universidade Estadual de Campinas (UNICAMP)

State University of Campinas (UNICAMP), Campinas – São Paulo (SP) – Brazil. Ph.D. student in the Graduate Program in Applied Linguistics, Institute of Language Studies (UNICAMP).

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Published

30/05/2026

How to Cite

Oliveira, L. A. B. de. (2026). Interpersonal judgment in digital media: lexico-grammatical patterns and applications in public perception monitoring. Revista on Line De Política E Gestão Educacional, 30(00), e026045. https://doi.org/10.22633/rpge.v30i00.21192