在她的Instagram评论中使用“你”的非人格化仇恨言论

Hira Tri Windasari Ilham, Sajarwa Sajarwa
{"title":"在她的Instagram评论中使用“你”的非人格化仇恨言论","authors":"Hira Tri Windasari Ilham, Sajarwa Sajarwa","doi":"10.30872/diglosia.v6i3.702","DOIUrl":null,"url":null,"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%.","PeriodicalId":33926,"journal":{"name":"Diglosia","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dehumanisasi ujaran kebencian dalam penggunaan kata ‘lu’ pada komentar Instagram Rachel Vennya\",\"authors\":\"Hira Tri Windasari Ilham, Sajarwa Sajarwa\",\"doi\":\"10.30872/diglosia.v6i3.702\",\"DOIUrl\":null,\"url\":null,\"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%.\",\"PeriodicalId\":33926,\"journal\":{\"name\":\"Diglosia\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diglosia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30872/diglosia.v6i3.702\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diglosia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30872/diglosia.v6i3.702","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Dehumanisasi ujaran kebencian dalam penggunaan kata ‘lu’ pada komentar Instagram Rachel Vennya
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%.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
64
审稿时长
12 weeks
期刊最新文献
Strategi ketidaksantunan sarkasme warganet pada kolom komentar Instagram Ganjar Pranowo Pemakaian kode tutur bahasa Jawa oleh pedagang di pasar Puisi Nikah Sungai dan Nikah Pisau karya Dorothea Rosa Herliany dalam perspektif ekofeminis Mary Daly Dehumanisasi ujaran kebencian dalam penggunaan kata ‘lu’ pada komentar Instagram Rachel Vennya Konstruksi preposisi 'pada' dan kepada 'dalam' ragam bahasa internet: kajian sintaksis berbasis korpus
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1