Analyzing Code-Mixing in Korean Language Learning Contents on TikTok by Indonesian Native Speaker

Social media platforms like TikTok have become popular for sharing language learning content. However, the phenomenon of code-mixing in such content, particularly in the context of Korean language learning, remains underexplored. This study aims to describe the forms of code-mixing present in Korean language learning content on the TikTok account @Eunji.nim, analyze the factors influencing its use and types of code-mixing. The forms of code-mixing are analyzed sociolinguistically using the theory of code-mixing forms by Khusaini (2019), the factors influencing code-mixing are examined using Suandi's theory (Ramadhan et al., 2017), and the types of code-mixing are identified using Wardhaugh's framework (Hamidah, 2015). This research examines five Korean language learning videos from the TikTok account @Eunji.nim. The primary research instrument is a data card, which is used to identify and classify the forms and factors of code-mixing. The data are analyzed descriptively and qualitatively to uncover patterns and underlying factors. The results indicate that utterances in the analyzed videos exhibit various forms of code-mixing. More than half of the instances are in single words, followed by clauses, with phrases being the least common form. Key elements influencing code-mixing include variety and level of speech, function and purpose, speech partner, and topic factors. The types of code-mixing only found situational code-mixing. This study highlights the sociolinguistic complexity of code-mixing in Korean language learning content on TikTok, offering insights into its forms, influencing factors and the types of code-mixing.

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Journal
Linguistik Terjemahan Sastra (LINGTERSA)
Published
2025-02-05
DOI
https://doi.org/10.32734/lingtersa.v6i1.19064
Primary Topic
Educational Methods and Media Use
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article
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article

Analyzing Code-Mixing in Korean Language Learning Contents on TikTok by Indonesian Native Speaker

Heaveny Dhia Amani, Ansas Velayeti Nurfitriana, Lubis Arif HUsein
1 links
Linguistik Terjemahan Sastra (LINGTERSA)
Educational Methods and Media Use
article

Analyzing Code-Mixing in Korean Language Learning Contents on TikTok by Indonesian Native Speaker

Heaveny Dhia Amani, Ansas Velayeti Nurfitriana, Lubis Arif HUsein
article en

Abstract

Social media platforms like TikTok have become popular for sharing language learning content. However, the phenomenon of code-mixing in such content, particularly in the context of Korean language learning, remains underexplored. This study aims to describe the forms of code-mixing present in Korean language learning content on the TikTok account @Eunji.nim, analyze the factors influencing its use and types of code-mixing. The forms of code-mixing are analyzed sociolinguistically using the theory of code-mixing forms by Khusaini (2019), the factors influencing code-mixing are examined using Suandi's theory (Ramadhan et al., 2017), and the types of code-mixing are identified using Wardhaugh's framework (Hamidah, 2015). This research examines five Korean language learning videos from the TikTok account @Eunji.nim. The primary research instrument is a data card, which is used to identify and classify the forms and factors of code-mixing. The data are analyzed descriptively and qualitatively to uncover patterns and underlying factors. The results indicate that utterances in the analyzed videos exhibit various forms of code-mixing. More than half of the instances are in single words, followed by clauses, with phrases being the least common form. Key elements influencing code-mixing include variety and level of speech, function and purpose, speech partner, and topic factors. The types of code-mixing only found situational code-mixing. This study highlights the sociolinguistic complexity of code-mixing in Korean language learning content on TikTok, offering insights into its forms, influencing factors and the types of code-mixing.

Linguistik Terjemahan Sastra (LINGTERSA)Vol. 6(1)
Indonesia University of Education (ID)
Openalex Percentile: Top 85%
Educational Methods and Media Use
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Analyzing Code-Mixing in Korean Language Learning Contents on TikTok by Indonesian Native Speaker — Heaveny Dhia Amani, Ansas Velayeti Nurfitriana, et al. · Linguistik Terjemahan Sastra (LINGTERSA) (2025) | TGRS Research Map | TGRS