CODE MIXING AS LANGUAGE STYLE IN COMMUNICATION THROUGH SOCIAL MEDIA TWITTER

Abstract

This paper aims to recognize the types of code-mixing and factors influencing code-mixing by
Twitter users. This study uses a descriptive qualitative research design. The subject of this study is
Twitter users who post tweets that contained code-mixing. The researcher uses documentation and
interview as data collection methods. The data for identifying the types of code-mixing were collected
by documenting the tweets posted previously by Twitter users on the Twitter platform. The interview
guide was used to ask questions to respondents about the factors influencing the use of code-mixing
in communication as language style. The data were analyzed through three stages: data reduction,
data display, and conclusion: verifying. The data collected from documentation and interview
showed that insertion code-mixing became the dominant type used among Twitter users. It is
influenced by several factors from within of language speaker and external factors.