Interpersonal judgment in digital media
lexico-grammatical patterns and applications in public perception monitoring
DOI:
https://doi.org/10.22633/rpge.v30i00.21192Keywords:
Appraisal, Interpersonal judgment, Digital media, Mixed methods, Public policyAbstract
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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