Mixcode Usage Analysis in a Conversation on Social Media Facebook UKI Toraja Group

Rita Tanduk; Fitri Arniati; Daud Rodi Palimbong; Elisabet Mangera; Fatriani Kalua

doi:10.2991/978-2-38476-108-1_57

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Mixcode Usage Analysis in a Conversation on Social Media Facebook UKI Toraja Group

Authors

Rita Tanduk¹^{, *}, Fitri Arniati², Daud Rodi Palimbong¹, Elisabet Mangera¹, Fatriani Kalua¹

¹Universitas Kristen Indonesia Toraja, Tana Toraja, South Sulawesi, Indonesia

²STKIP YPUP Makassar, Makassar, South Sulawesi, Indonesia

^*Corresponding author. Email: ritatanduk@ukitoraja.ac.id

Corresponding Author

Rita Tanduk

Available Online 28 September 2023.

DOI: 10.2991/978-2-38476-108-1_57 How to use a DOI?
Keywords: Causative Factors; Mix Code; Social Media
Abstract: This article describes the use of mixed codes in social media conversations Facebook group UKI Toraja. Qualitative research used is a method in analyzing data descriptively. Data collection is carried out by reading, recording and documentation techniques. The source of the data was obtained from the results of speech between speech partners through written messages on Facebook social media which were then described, classified, and analyzed. Data analysis is carried out by the triangulation method, which is to examine the results of field notes using predetermined methods and theories. The results showed that the form of code mixture that occurred in conversations through social media Facebook UKI Toraja group accounts in the form of insertion of elements of words, phrases, clauses, expressions or idioms, and baster forms in one speech. The code mixing event in this study was motivated by several factors including, the existence of the same situation and situational (familiarity) between speech partners; the absence of exact equivalents of words; and language acquisition limitations.
Copyright: © 2024 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the Online Conference of Education Research International (OCERI 2023)
Series: Advances in Social Science, Education and Humanities Research
Publication Date: 28 September 2023
ISBN: 978-2-38476-108-1
ISSN: 2352-5398
DOI: 10.2991/978-2-38476-108-1_57 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Rita Tanduk
AU  - Fitri Arniati
AU  - Daud Rodi Palimbong
AU  - Elisabet Mangera
AU  - Fatriani Kalua
PY  - 2023
DA  - 2023/09/28
TI  - Mixcode Usage Analysis in a Conversation on Social Media Facebook UKI Toraja Group
BT  - Proceedings of the Online Conference of Education Research International (OCERI 2023)
PB  - Atlantis Press
SP  - 589
EP  - 595
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-108-1_57
DO  - 10.2991/978-2-38476-108-1_57
ID  - Tanduk2023
ER  -

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