DIGITAL IMPOLITENESS

→ 🔗 OLIVEIRA, ALAM; MIRANDA, MV Impoliteness Metadiscourse as an Analytical Tool: Evidence from the Political Domain on Twitter/X. Revista de Estudos da Linguagem , [S. l.], v. 32, n. 2, p. 479–498, 2024. Available at: https://periodicos.ufmg.br/index.php/relin/article/view/56121. Accessed on: November 28, 2024.

💭 This article analyzes user reactions to the verbal behavior of candidates in the Brazilian presidential debate on 10/28/22, characterizing them as metadiscourses of impoliteness. The data, extracted from the most frequent hashtags, show that users negatively evaluated the candidates and responded with impoliteness. The study also suggests that there were attempts to publicly shame political figures and others, indicating the normalization of impolite language, with swear words and negative statements, typical of the digital environment.

→ 🔗 OLIVEIRA, ALAM; MIRANDA, MV Impoliteness Metadiscourse as an Analytical Tool: Evidence from the Political Domain on Twitter/X. Revista de Estudos da Linguagem , [S. l.], v. 32, n. 2, p. 479–498, 2024. Available at: https://periodicos.ufmg.br/index.php/relin/article/view/56121. Accessed on: November 28, 2024.

💭 This article analyzes user reactions to the verbal behavior of candidates in the Brazilian presidential debate on 10/28/22, characterizing them as metadiscourses of impoliteness. The data, extracted from the most frequent hashtags, show that users negatively evaluated the candidates and responded with impoliteness. The study also suggests that there were attempts to publicly shame political figures and others, indicating the normalization of impolite language, with swear words and negative statements, typical of the digital environment.

→ / 🔗 OLIVEIRA, ALAM; MIRANDA, MV Impoliteness Metadiscourse as an Analytical Tool: Evidence from the Political Domain on Twitter/X. Revista de Estudos da Linguagem , [S. l.], v. 32, n. 2, p. 479–498, 2024. Available at: https://periodicos.ufmg.br/index.php/relin/article/view/56121. Accessed on: November 28, 2024.

💭 This article analyzes user reactions to the verbal behavior of candidates in the Brazilian presidential debate on 10/28/22, characterizing them as metadiscourses of impoliteness. The data, extracted from the most frequent hashtags, show that users negatively evaluated the candidates and responded with impoliteness. The study also suggests that there were attempts to publicly shame political figures and others, indicating the normalization of impolite language, with swear words and negative statements, typical of the digital environment.

→🔗 OLIVEIRA, Ana Larissa Adorno Marciotto; CUNHA, Gustavo Ximenes. Epistemic relations and linguistic impoliteness in Twitter/X comments about a presidential debate. Linguagem Em (Dis)curso (Online), v. 24, p. e-1982-4017-24-, 2024. DOI: https://doi.org/10.1590/1982-4017-24-30

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💭 This article analyzes Twitter/X users’ reactions to the 2022 presidential debate broadcast by TV Globo, combining the Epistemic Reciprocity Principle (ERP) with studies on the epistemic dimension in Conversation Analysis. Based on 2,522 unique hashtagged tweets, the study finds that challenging questions shifted the interactional focus and conveyed evaluative stances. Users defended their epistemic territory through impoliteness, and Twitter/X features like hashtags helped reinforce the debate’s transactional nature.

→ 🔗 OLIVEIRA, ALA M; CUNHA, G. X; MIRANDA, MV Referential categorization as a resource of impoliteness on Twitter/X. GELNE Journal , v. 6, pp e36464, 2024. DOI: https://doi.org/10.21680/1517-7874.2024v26n2ID36464

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💭 This study examines how referential categorization functions as a strategy of linguistic impoliteness on Twitter/X. Analyzing insults toward political figures during Brazil’s 2022 runoff election, it identifies four main patterns: references to historical/media figures, creative neologisms, attacks on moral integrity, and comments on candidates’ psychological stability.

→ 🔗 OLIVEIRA, ANA LARISSA; DRINÓCZI, TÍMEA; MIRANDA, MONIQUE. Far-right discourse in Brazil. Journal of Language and Politics , v. 1, p. N 1569-9862, 2024. DOI: http://dx.doi.org/10.1075/jlp.23120.oli

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💭 The study analyzes hashtags and posts used as responses to the Supreme Federal Court's Twitter/X profile between October 2021 and October 2022. The research revealed that 94.9% of the hashtags used impolite language, often combined with lies and manipulation, to attack the judiciary, defame opponents and attract followers. The analysis confirms that online verbal attacks on the STF were a common practice, especially among far-right leaders.