An Analysis of Indonesian-Eglish Code Mixing Used in Social Media (TWITTER)

Nabila, Cindy; Idayani, Andi

doi:10.25299/jshmic.2022.vol9(1).9036

Cited by 3 publications

(3 citation statements)

References 1 publication

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“…Habit also becomes the reason why they often use code mixing as well. Nabila (2021) in her research entitled "An Analysis of Indonesian-English Code Mixing Used in social media (Twitter). The result told that six forms of code mixing found in Twitter, as follows: 53 data found in code mixing of word, code mixing of phrase 20 data, 8 data in code mixing of hybrid, code mixing of word repetition 1 data, 7 data in code mixing of idiom, and 25 data found in code mixing of clause.…”

Section: Introductionmentioning

confidence: 99%

An Analysis of Code Mixing Used by Beauty Influencers in Tiktok

Aslim,

Eliwarti,

Hadriana

2024

IDEAS

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The aims of this study were to analyze the types of code mixing used by beauty influencers in TikTok and the reasons of why they used code mixing in their videos. The method that used in this research is descriptive qualitative to collect the data from the transcript of beauty influencers’ videos. Interviewing the beauty influencers is used to find out the reasons of why they use code mixing in their videos through Instagram’s DMs. The writer selected three beauty influencers in TikTok as the sample of this research. After analyzing 21 videos from beauty influencers, the result of this research found that 954 utterances of code mixing which appeared in the transcript from beauty influencers’ videos. From that, there were three types of code mixing based on Hoffman’s theory as follows; intra-sentential code mixing, intra-lexical code mixing and involving change of pronunciation. Meanwhile, there was only one reason of why the beauty influencers used code mixing in their videos, that was because of habit.

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Section: Introductionmentioning

confidence: 99%

An Analysis of Code Mixing Used by Beauty Influencers in Tiktok

Aslim,

Eliwarti,

Hadriana

2024

IDEAS

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“…The study also revealed that Sheryl's followers used code-mixing to express Dominance Attitude and Language Attitude. Another noteworthy study by Cindy Nabila and Andi Idayani (2022) from Islamic University Riau, "An Analysis of Indonesian-English Code Mixing Used in Social Media (Twitter)," utilized tweets from prominent Twitter personalities as the primary data source. Through documentation, the researchers analyzed these tweets and identified significant motivations for code-mixing on Twitter, including the desire for motivation, knowledge enhancement, humor, and emotional expression.…”

Section: Introductionmentioning

confidence: 99%

Linguistic Interplay on Social Media: Unraveling Indonesian-English Code Mixing on Twitter

Wibowo,

Hamidah

2023

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This qualitative descriptive study delves into the intricate realm of code mixing between Indonesian and English on the Twitter account known as Convomf. With a substantial following of over 1.3 million users, Convomf serves as a dynamic autobase forum where individuals express their concerns and experiences anonymously. This research is driven by two primary objectives: firstly, to categorize the distinct types of code mixing evident in the Convomf tweets, and secondly, to uncover the underlying reasons users engage in this linguistic practice. Employing a purposive sampling method, the study meticulously analyzed tweets collected between February and March 2023. The tweets selected for analysis were those that prominently featured code mixing, providing a rich dataset for examination. The methodology centered around the documentation of these tweets, followed by an in-depth analysis of the language patterns and structures used by the account holders. The findings of the study indicate a diverse array of code-mixing types, with six primary categories identified: insertion of a word (16%), phrase (22%), word reduplication (1%), clause (42%), hybrid constructions (9.5%), and idioms (9.5%). These variations demonstrate the complexity and versatility of code mixing as a linguistic strategy. Furthermore, the study explored the motivations behind code mixing, aligning with Hoffman's theoretical framework. The reasons range from discussing particular topics (65%) and clarifying speech (18.5%) to emphasizing certain points (15%), among others. Notably, interjections and repetition for clarification were also observed, albeit less frequently. Overall, this study contributes to the understanding of code mixing in digital communication on social media platforms. It reveals that code mixing is not only prevalent but also serves various communicative functions, reflecting the nuanced ways in which language is used in the context of social media. The insights gained from this research offer valuable implications for linguistics, particularly in the realm of bilingualism and language usage online.

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“…And the results of their research in the types intra-sentential code-mixing, intra-lexical code-mixing, and involving change of pronunciation. And for the last, the researchers taken from (Nabila & Idayani, 2022). In this study, the researchers analyzed about forms of code-mixing used in social media.…”

Section: Introductionmentioning

confidence: 99%

Indonesian-English Code-Mixing by “Kuy-Entertainment” Youtube Channel

Monica Heraldine,

Panjaitan,

Febiola

et al. 2022

UNCOLLCS

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Code-mixing is the use of two or more languages by inserting one language element into another language element in one sentence. This research used descriptive qualitative research to aimed the types and reasons for code-mixing that were realized in the “Kuy-Entertainment” YouTube video. The method of collecting data from this qualitative research is observational. And the technique of analyzing data is descriptive. This research used theory from Muysken (2000) to analyzed about the types of code-mixing, and for the reason used theory from (Hoffman, 1991). The researchers found 15 data of types and reasons of code-mixing. Those were 3 types in the utterances, 12 data of insertion, 2 data of alternation, and 1 data of congruent lexicalization. And for the reason, the researchers found 4 reasons of code-mixing, those were 9 data of talking about a particular topic, 2 data of quoting somebody else, 3 data of being emphatic about something, and 1 data of intention of clarifying the speech content for the interlocutor.

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An Analysis of Indonesian-Eglish Code Mixing Used in Social Media (TWITTER)

Cited by 3 publications

References 1 publication

An Analysis of Code Mixing Used by Beauty Influencers in Tiktok

An Analysis of Code Mixing Used by Beauty Influencers in Tiktok

Linguistic Interplay on Social Media: Unraveling Indonesian-English Code Mixing on Twitter

Indonesian-English Code-Mixing by “Kuy-Entertainment” Youtube Channel

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