AN ANALYSIS INDONESIAN-ENGLISH CODE MIXING USED BY NCT’S FAN ON THE TWITTER ACCOUNTS

Abstract

This research discusses the use of code mixing by NCT fans on Twitter in some of the tweets they upload. This study aims to identify the types and describe the functions of code mixing found in the tweets uploaded by NCT fans. The data were analyzed based on Muysken's (2000) theory of code-mixing and Hoffman's (1991) theory to determine the reasons for code-mixing. The writer also utilizes a qualitative method to analyze, as well as several techniques to collect data, including finding the tweets from several accounts, identifying the data related to code mixing, and classifying the data based on Muysken’s theory. The results of the analysis found 50 data containing code-mixing. The types of code mix found in this study are insertion, alternation, and congruent lexicalization. Insertion was found in 16 data; alternation was found in 4 data while congruent lexicalization was found in 30 data. Then, the reasons for code mix found in the fan's utterances are talking about a particular topic, being emphatic about something, expressing group identity, quoting someone else, and interjection. Talking about a particular topic was found in 44 data, being emphatic about something was found in 6 data, expressing group identity was found in 5 data, quoting somebody else was found in 7 data, and interjection was found in 4 data.