Kiftiyah, Arlita (2022) The Use Of Code Mixing Found In Instagram Posts. Undergraduate thesis, IAIN KUDUS.
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1. COVER.pdf Download (811kB) |
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2. ABSTRAK.pdf Download (373kB) |
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3. DAFTAR ISI.pdf Download (359kB) |
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4. BAB I.pdf Download (422kB) |
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5. BAB II.pdf Download (458kB) |
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9. DAFTAR PUSTAKA.pdf Download (306kB) |
Abstract
Code mixing is very common in multilingual countries like Indonesia. Not only in daily conversation, but also on social media including Instagram. This research focuses on code mixing contained in the posts of three Instagram influencers from December 2021 to January 2022. This research aims to determine the types of code mixing that occurs in the post and analyze the factors that cause it. The method used is descriptive qualitative and analyzed using sociolinguistic studies. To categorize the types of code mixing, the researcher uses Muysken’s theory, he divides type of code mixing into three categories, namely insertion, alternation, and congruent lexicalization. And for the factors that influence the code mixing, the researcher uses the theory of Hoffman and Kim, which produces 13 possible factors for code mixing. The results of this research are that three types of code mixing were found in the three influencer posts, the most dominant type is insertion (56,34%), followed by congruent lexicalization (23,94%), and alternation (19,72%). While the most common factors causing code mixing is discussing specific topics (19,50%) and the least is situation (2,44%). Two additional factors were also found in this research, namely the habits factor and endorsement requests. Thus, this research is expected to be useful in future language research, particularly in sociolinguistics.
| Item Type: | Thesis (Undergraduate) |
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| Uncontrolled Keywords: | Code, Code Mixing, Sociolinguistics, Influencer, Instagram. |
| Subjects: | 300 Ilmu-Ilmu Sosial > 370 Pendidikan |
| Divisions: | Fakultas Tarbiyah > Tadris Bahasa Inggris (BI) |
| Depositing User: | Perpustakaan IAIN Kudus |
| Date Deposited: | 30 Dec 2022 07:33 |
| Last Modified: | 30 Dec 2022 07:33 |
| URI: | http://repository.iainkudus.ac.id/id/eprint/8103 |
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