Iin Risliyanti, Setiana Sri Wahyuni Sitepu, Muhammad Ahsan Tampubolon
{"title":"印度尼西亚Selebgram在Instagram上的标题中的代码混合","authors":"Iin Risliyanti, Setiana Sri Wahyuni Sitepu, Muhammad Ahsan Tampubolon","doi":"10.32493/ljlal.v1i2.5126","DOIUrl":null,"url":null,"abstract":"The use of code-mixing in any social media platform rises significantly. As one of currently popular social media, Instagram is mostly-found platform to mixing languages in users’ caption posts. Observing 10 captions written by an instagram-based influencer known with selebgram,, this study aims at (1) finding out code-mixing practices from the captions; and (2) classifying them into types of code-mixing based on Musyken’s theory. The captions were written by a celebrity, a trendsetter for Indonesian teenagers who use English as their target language. This study finds that (1) there are 10 code-mixing uses found in the 10 captions which are classified into (2) alternation type for 8 times, and congruent lexicalization type for 2 times.","PeriodicalId":148876,"journal":{"name":"Lexeme : Journal of Linguistics and Applied Linguistics","volume":"64 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Code-Mixing in Indonesian Selebgram’s Caption in Instagram\",\"authors\":\"Iin Risliyanti, Setiana Sri Wahyuni Sitepu, Muhammad Ahsan Tampubolon\",\"doi\":\"10.32493/ljlal.v1i2.5126\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of code-mixing in any social media platform rises significantly. As one of currently popular social media, Instagram is mostly-found platform to mixing languages in users’ caption posts. Observing 10 captions written by an instagram-based influencer known with selebgram,, this study aims at (1) finding out code-mixing practices from the captions; and (2) classifying them into types of code-mixing based on Musyken’s theory. The captions were written by a celebrity, a trendsetter for Indonesian teenagers who use English as their target language. This study finds that (1) there are 10 code-mixing uses found in the 10 captions which are classified into (2) alternation type for 8 times, and congruent lexicalization type for 2 times.\",\"PeriodicalId\":148876,\"journal\":{\"name\":\"Lexeme : Journal of Linguistics and Applied Linguistics\",\"volume\":\"64 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Lexeme : Journal of Linguistics and Applied Linguistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32493/ljlal.v1i2.5126\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lexeme : Journal of Linguistics and Applied Linguistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32493/ljlal.v1i2.5126","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Code-Mixing in Indonesian Selebgram’s Caption in Instagram
The use of code-mixing in any social media platform rises significantly. As one of currently popular social media, Instagram is mostly-found platform to mixing languages in users’ caption posts. Observing 10 captions written by an instagram-based influencer known with selebgram,, this study aims at (1) finding out code-mixing practices from the captions; and (2) classifying them into types of code-mixing based on Musyken’s theory. The captions were written by a celebrity, a trendsetter for Indonesian teenagers who use English as their target language. This study finds that (1) there are 10 code-mixing uses found in the 10 captions which are classified into (2) alternation type for 8 times, and congruent lexicalization type for 2 times.