Abstract

This article presents partial results of Glück's thesis (2024). The study aimed to investigate the phenomenon of technoenunciative heterogeneity, in particular the reported technodiscourse, and its implications for science communication action in a scientific dissemination tweet gathered from the hashtag #divulgaçãocientífica. From a theoretical point of view, Digital Discourse Analysis concepts are presented, according to Marie-Anne Paveau, as well as Sophie Moirand's postulations about corpora extension in a digital environment. The analysis of the tweet generated consisted of the following steps: (i) generation of data for analysis on the topic of science dissemination; (ii) description of the tweet from the data generated from the Twitter ecosystem; (iii) identification of strategies for materializing technoenunciative heterogeneity, via Paveau; (iv) considerations about the materialization of the phenomenon of technoenunciative heterogeneity and its implication for scientific dissemination. The analysis corroborates the fact that native digital discourses are of a technolinguistic nature, in a true composite from an ecological, symmetrical, and post-dualist perspective.

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