Ni Kadek Aprilia Dwi Astari, I Made Yogi Marantika
{"title":"在Cinta Laura Youtube频道“Bicara Cinta”中使用的代码混合","authors":"Ni Kadek Aprilia Dwi Astari, I Made Yogi Marantika","doi":"10.31294/wanastra.v15i1.14580","DOIUrl":null,"url":null,"abstract":"This study purpose is to found: 1) code mixing types used in Cinta Laura video podcast “Bicara Cinta” on YouTube channel and 2) the factors why the speakers used code mixing in video podcast “Bicara Cinta” on YouTube channel. This study applied the theory of Hoffman (1991). Code Mixing is a study of sociolinguistics. Sociolinguistics can be defined as the study of language that related to society. The data were taken from a video podcast “Bicara Cinta” from Puella Id YouTube channel owned by Cinta Laura. This study used a descriptive qualitative method, in Observations method, watching the video podcast, listening the conversation the video podcast, and note taking technique was applied in order to collecting data. The study result is show the prominent type of code-mixing found in this study is Intra-sentential code-mixing, while the least type of code-mixing found in this study is Intra-lexical code-mixing. For occurrence from this data that found are 50 data, Type of code mixing Intra-sentential code mixing are 35 (70%), Intra-lexical code mixing are 6 (12%), and Involving a change of pronunciation are 9 (18%). To get data results from involving a change of pronunciation, people need to understand the correct pronunciation, for example “of course” can be mispronounced to be “of cos” in this study. Key words: Code Mixing, Sociolinguistics, Podcast","PeriodicalId":494692,"journal":{"name":"Wanastra","volume":"311 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Code Mixing Used In Cinta Laura Youtube Channel’s “Bicara Cinta”\",\"authors\":\"Ni Kadek Aprilia Dwi Astari, I Made Yogi Marantika\",\"doi\":\"10.31294/wanastra.v15i1.14580\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study purpose is to found: 1) code mixing types used in Cinta Laura video podcast “Bicara Cinta” on YouTube channel and 2) the factors why the speakers used code mixing in video podcast “Bicara Cinta” on YouTube channel. This study applied the theory of Hoffman (1991). Code Mixing is a study of sociolinguistics. Sociolinguistics can be defined as the study of language that related to society. The data were taken from a video podcast “Bicara Cinta” from Puella Id YouTube channel owned by Cinta Laura. This study used a descriptive qualitative method, in Observations method, watching the video podcast, listening the conversation the video podcast, and note taking technique was applied in order to collecting data. The study result is show the prominent type of code-mixing found in this study is Intra-sentential code-mixing, while the least type of code-mixing found in this study is Intra-lexical code-mixing. For occurrence from this data that found are 50 data, Type of code mixing Intra-sentential code mixing are 35 (70%), Intra-lexical code mixing are 6 (12%), and Involving a change of pronunciation are 9 (18%). To get data results from involving a change of pronunciation, people need to understand the correct pronunciation, for example “of course” can be mispronounced to be “of cos” in this study. Key words: Code Mixing, Sociolinguistics, Podcast\",\"PeriodicalId\":494692,\"journal\":{\"name\":\"Wanastra\",\"volume\":\"311 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Wanastra\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31294/wanastra.v15i1.14580\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wanastra","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31294/wanastra.v15i1.14580","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
本研究的目的是发现:1)YouTube频道Cinta Laura视频播客“Bicara Cinta”中使用的混码类型,2)YouTube频道“Bicara Cinta”视频播客中演讲者使用混码的因素。本研究采用了Hoffman(1991)的理论。代码混合是一门社会语言学的研究。社会语言学可以定义为研究与社会有关的语言。数据来自Cinta Laura拥有的Puella Id YouTube频道的视频播客“Bicara Cinta”。本研究采用描述性定性方法,在观察法中,通过观看视频播客,收听视频播客中的对话,并采用笔记技术来收集数据。研究结果表明,本研究中发现的代码混合类型中最突出的是句子内的代码混合,而本研究中发现的代码混合类型中最少的是词汇内的代码混合。从该数据中发现的50个数据中,代码混合类型:句子内代码混合35个(70%),词汇内代码混合6个(12%),涉及发音变化的代码混合9个(18%)。为了从涉及到的发音变化中得到数据结果,人们需要理解正确的发音,例如在本研究中,“当然”可能会被读错为“of cos”。关键词:代码混合,社会语言学,播客
Code Mixing Used In Cinta Laura Youtube Channel’s “Bicara Cinta”
This study purpose is to found: 1) code mixing types used in Cinta Laura video podcast “Bicara Cinta” on YouTube channel and 2) the factors why the speakers used code mixing in video podcast “Bicara Cinta” on YouTube channel. This study applied the theory of Hoffman (1991). Code Mixing is a study of sociolinguistics. Sociolinguistics can be defined as the study of language that related to society. The data were taken from a video podcast “Bicara Cinta” from Puella Id YouTube channel owned by Cinta Laura. This study used a descriptive qualitative method, in Observations method, watching the video podcast, listening the conversation the video podcast, and note taking technique was applied in order to collecting data. The study result is show the prominent type of code-mixing found in this study is Intra-sentential code-mixing, while the least type of code-mixing found in this study is Intra-lexical code-mixing. For occurrence from this data that found are 50 data, Type of code mixing Intra-sentential code mixing are 35 (70%), Intra-lexical code mixing are 6 (12%), and Involving a change of pronunciation are 9 (18%). To get data results from involving a change of pronunciation, people need to understand the correct pronunciation, for example “of course” can be mispronounced to be “of cos” in this study. Key words: Code Mixing, Sociolinguistics, Podcast