Ristanti, Natia (2023) An Analysis of Code-Mixing Used by Twitter Users at Ninth Semester Students of The English Education Department at Sultan Ageng Tirtayasa University. S1 thesis, Universitas Sultan Ageng Tirtayasa.
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Abstract
This research aims to identify the types of code-mixing that students use and find out the reasons for using code-mixing in posting tweets on Twitter. A descriptive qualitative research design was utilized along with content analysis. The research only focused on Indonesian-English code-mixing on students’ tweets posted on Twitter. Furthermore, documentation and interviews were utilized to collect the data from ten students from class B of the English Education Department 2019. Based on the findings, three types of code-mixing were found using Muysken’s theory (2000). The result showed that from 30 tweets, there were 26,6% insertion, 36,7% alternation, and 36,7% congruent lexicalization. Furthermore, the researcher discovered six out of seven reasons for using code-mixing based on Hoffmann (1991). The result showed that from 30 tweets, 76,7% used code-mixing for talking about particular topic, 6,7% used it for being empathy about something, 6,7% used it for interjection, 3,3% used it for repetition for clarification, 3,3% used it for expressing group identity, and 3,3% used it for the intention of clarifying the speech content for the interlocutor. None of the students used code-mixing to quote somebody else. The dominant reason used by the students was talking about a particular topic.
| Item Type: | Thesis (S1) | |||||||||
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| Additional Information: | This research aims to identify the types of code-mixing that students use and find out the reasons for using code-mixing in posting tweets on Twitter. A descriptive qualitative research design was utilized along with content analysis. The research only focused on Indonesian-English code-mixing on students’ tweets posted on Twitter. Furthermore, documentation and interviews were utilized to collect the data from ten students from class B of the English Education Department 2019. Based on the findings, three types of code-mixing were found using Muysken’s theory (2000). The result showed that from 30 tweets, there were 26,6% insertion, 36,7% alternation, and 36,7% congruent lexicalization. Furthermore, the researcher discovered six out of seven reasons for using code-mixing based on Hoffmann (1991). The result showed that from 30 tweets, 76,7% used code-mixing for talking about particular topic, 6,7% used it for being empathy about something, 6,7% used it for interjection, 3,3% used it for repetition for clarification, 3,3% used it for expressing group identity, and 3,3% used it for the intention of clarifying the speech content for the interlocutor. None of the students used code-mixing to quote somebody else. The dominant reason used by the students was talking about a particular topic. | |||||||||
| Uncontrolled Keywords: | Code-Mixing, Twitter, Social Media | |||||||||
| Subjects: | L Education > L Education (General) L Education > LB Theory and practice of education |
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| Divisions: | 02-Fakultas Keguruan dan Ilmu Pendidikan 02-Fakultas Keguruan dan Ilmu Pendidikan > 88203-Jurusan Pendidikan Bahasa Inggris |
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| Depositing User: | Natia Ristanti | |||||||||
| Date Deposited: | 07 Feb 2024 10:48 | |||||||||
| Last Modified: | 07 Feb 2024 10:48 | |||||||||
| URI: | http://eprints.untirta.ac.id/id/eprint/32776 |
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