Dehumanisasi ujaran kebencian dalam penggunaan kata ‘lu’ pada komentar Instagram Rachel Vennya

Hira Tri Windasari Ilham, Sajarwa Sajarwa
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Abstract

The purpose of this study is to determine the discursive representation of the word 'lu' in the speech written on Rachel Vennya's Instagram comments that have the potential to express hatred using the synergy of linguistic corpus methodology and to identify illocutionary speech acts using Searle's pragmatic theory. This study is a qualitative study in which researchers serve as research tools. The research data collocates with the word 'lu' processed using the Sketch Engine Tool. The hate speech corpus was compiled from Rachel Vennya's Instagram comments from 2020 to 2022. The Instagram Comments Scraper tool was used to capture these comments. The total number of utterances is 4,865, with 22,986 words. The word 'lu' appears in 88 different speech patterns in Instagram comments. The collocation analysis also reveals differences in the proclivity to utilize terms in R1 and L1. Apart from 'dakjal' vs 'setan' and 'kya' vs 'kek,' there was also a proclivity to use other words with similar meanings. One example is the colloquial R1 for the word 'anjing' in the (n+lu) pattern. Then, at 48%, directive speech acts dominated the rise of hate speech, followed by expressive speech acts at 33% and assertive speech acts at 19%.
在她的Instagram评论中使用“你”的非人格化仇恨言论
本研究的目的是利用语言学语料库方法的协同作用,确定Rachel Vennya的Instagram评论中“lu”一词的话语表达,并利用Searle的语用理论识别言外言语行为。这项研究是一项定性研究,研究人员作为研究工具。研究数据与使用草图引擎工具处理的单词“lu”并置。仇恨言论语料库是根据Rachel Vennya 2020年至2022年在Instagram上的评论汇编而成的。Instagram评论抓取工具用于捕捉这些评论。话语总量为4865个,共22986个单词。在Instagram评论中,“lu”一词出现在88种不同的言语模式中。搭配分析还揭示了R1和L1中使用术语的倾向性的差异。除了“dakjal”对“setan”和“kya”对“kek”,人们还倾向于使用其他含义相似的单词。一个例子是(n+lu)模式中单词“anjing”的口语R1。然后,48%的人认为,指示性言论行为主导了仇恨言论的上升,其次是表达性言论行为,占33%,自信性言论行为占19%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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12 weeks
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