推特上的数字话语与科学传播:分析以 #divulgaçãocientífica (#scientificdissemination) 为标签的推文中的技术发音异质性

Eduardo Paré Glück, Maria Eduarda Giering
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引用次数: 0

摘要

本文介绍了格吕克论文(2024 年)的部分成果。该研究旨在调查技术发音异质性现象,特别是所报道的技术话语,及其对科学传播行动的影响,该推文收集自#divulgaçãoocientífica标签的科学传播推文。从理论角度出发,介绍了 Marie-Anne Paveau 提出的数字话语分析概念,以及 Sophie Moirand 关于在数字环境中扩展语料库的假设。对所生成推文的分析包括以下步骤:(i) 生成以科学传播为主题的分析数据;(ii) 从推特生态系统生成的数据中对推文进行描述;(iii) 通过帕沃确定技术发音异质性的具体化策略;(iv) 考虑技术发音异质性现象的具体化及其对科学传播的影响。分析结果证实,从生态、对称和后二元论的角度来看,原生数字话语具有技术语言的性质,是一个真正的复合体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital discourse and scientific dissemination on Twitter: analysis of technoenunciation heterogeneity in tweet gathered by the hashtag #divulgaçãocientífica (#scientificdissemination)
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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