“乔·拜登是个腐败的政客!”:唐纳德·特朗普的推文不礼貌

IF 0.6 Q3 LINGUISTICS

Mental Lexicon Pub Date : 2022-04-01 DOI:10.22146/lexicon.v9i1.66685

Fithrotul Izzah, T. J. P. Sembodo

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引用次数: 0

摘要

本研究旨在调查唐纳德·特朗普个人推特账户(@realDonaldTrump)从第一次总统辩论到2020年美国总统大选选举日的351条推文中的不礼貌策略。本研究采用Bousfield(2008)的不礼貌策略分类法对数据进行分析。在351条推文中，有11种不礼貌策略出现了368次。最常见的不礼貌策略是使用不恰当的身份标记(23.59%)，其次是威胁/恐吓(21.13%)和居高临下、蔑视和嘲笑(20.59%)。这些策略被用来攻击和诋毁特朗普的政治对手，以及吸引潜在的选民。另一方面，在推文中没有发现两种不礼貌策略，即阻碍/阻止和强制角色转换。结果表明，唐纳德·特朗普的推文表现出不礼貌，在2020年美国总统大选期间，它作为一种政治竞选手段发挥了相当重要的作用。

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"Joe Biden is a corrupt politician!": Impoliteness in Donald Trump’s Tweets

This study aims at investigating impoliteness strategies in 351 tweets taken from Donald Trump’s personal Twitter account (@realDonaldTrump) from the first presidential debate to the Election Day of the 2020 United States presidential election. The current study employed Bousfield’s (2008) taxonomy of impoliteness strategies to analyze the data. There are 368 occurrences of eleven impoliteness strategies across 351 tweets. The most common impoliteness strategy is use inappropriate identity markers (23.59%), followed by threaten/frighten (21.13%) and condescend, scorn, and ridicule (20.59%). These strategies were employed to attack and discredit Trump’s political opponents as well as attracting prospective voters. On the other hand, two impoliteness strategies, namely hinder/block and enforce role shift, were not identified in the tweets. The results indicate that Donald Trump’s tweets exhibited impoliteness and that it played quite a significant role as a means of political campaign during the 2020 United States Presidential Election.

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来源期刊

Mental Lexicon LINGUISTICS-

CiteScore

1.50

自引率

0.00%

发文量

期刊介绍： The Mental Lexicon is an interdisciplinary journal that provides an international forum for research that bears on the issues of the representation and processing of words in the mind and brain. We encourage both the submission of original research and reviews of significant new developments in the understanding of the mental lexicon. The journal publishes work that includes, but is not limited to the following: Models of the representation of words in the mind Computational models of lexical access and production Experimental investigations of lexical processing Neurolinguistic studies of lexical impairment. Functional neuroimaging and lexical representation in the brain Lexical development across the lifespan Lexical processing in second language acquisition The bilingual mental lexicon Lexical and morphological structure across languages Formal models of lexical structure Corpus research on the lexicon New experimental paradigms and statistical techniques for mental lexicon research.