Unraveling the Language Play on YouTube: A Sociolinguistic Study of Code Choice in Online Content

The use of code mixing and code switching is one of the exciting phenomena in social media. This research aims to identify the types of code switching and code mixing and to determine the reasons behind code switching and code mixing in this content. The method of this research employed a qualitative descriptive design. The data of this research were taken from the video “Daniel Tetangga Kamu” with Dewi Sandra's guests for parts 1-3, which focused on the code mixing and switching and the reasons for code mixing and switching between them. In collecting the data, the researcher observes the video, makes a transcription of the recorded data and organizes it into written data, and then classifies it based on the categories. The results showed that the most dominant type of code mixing found on the Daniel Mananta Network is the insertion of words. While the most dominant type of code switching was Intra-sententia, the research revealed that the reasons why the speaker uses code mixing and switching in their conversation were to talk about a particular topic, quoting somebody else, being emphatic about something, switching as an interjection, repetition, clarifying and expressing status of group identity. The implication of this research contributes to revealing that code mixing and code switching were not only prevalent but also serve various communicative functions, reflecting the nuanced ways in which language was used in the context of the YouTube Channel. The insights gained from this research offer valuable implications

Authors

Institutions

Publication Details

Journal
LETS Journal of Linguistics and English Teaching Studies
Published
2025-06-20
DOI
https://doi.org/10.46870/lets.v6i2.1535
Primary Topic
Digital Communication and Language
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unraveling the Language Play on YouTube: A Sociolinguistic Study of Code Choice in Online Content

Hanafi Wibowo, Siti Anisah
1 links
LETS Journal of Linguistics and English Teaching Studies
Digital Communication and Language
article

Unraveling the Language Play on YouTube: A Sociolinguistic Study of Code Choice in Online Content

Hanafi Wibowo, Siti Anisah
article en

Abstract

The use of code mixing and code switching is one of the exciting phenomena in social media. This research aims to identify the types of code switching and code mixing and to determine the reasons behind code switching and code mixing in this content. The method of this research employed a qualitative descriptive design. The data of this research were taken from the video “Daniel Tetangga Kamu” with Dewi Sandra's guests for parts 1-3, which focused on the code mixing and switching and the reasons for code mixing and switching between them. In collecting the data, the researcher observes the video, makes a transcription of the recorded data and organizes it into written data, and then classifies it based on the categories. The results showed that the most dominant type of code mixing found on the Daniel Mananta Network is the insertion of words. While the most dominant type of code switching was Intra-sententia, the research revealed that the reasons why the speaker uses code mixing and switching in their conversation were to talk about a particular topic, quoting somebody else, being emphatic about something, switching as an interjection, repetition, clarifying and expressing status of group identity. The implication of this research contributes to revealing that code mixing and code switching were not only prevalent but also serve various communicative functions, reflecting the nuanced ways in which language was used in the context of the YouTube Channel. The insights gained from this research offer valuable implications

LETS Journal of Linguistics and English Teaching StudiesVol. 6(2)
Universitas Islam As-Syafi'iyah (ID)
Quality Education
Openalex Percentile: Top 87%
Digital Communication and Language
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.