Sociolinguistics pays considerable attention to the bilingualism phenomenon. As a communication strategy, bilingual communities often employ code-mixing, which involves mixing two or more languages. Nowadays, code-mixing can be observed in interactions on social media platforms, such as YouTube podcasts. This study aims to describe the types and factors of code-mixing by Arabic speakers in the #ABtalks podcast. The types are analyzed using Muysken's theory and the factors using Hoffman-Troike's theory. The method used for this research is descriptive qualitative analysis through direct element division (BUL) and referential pairing. The findings indicate that insertion code-mixing is the most prevalent, which is 119 data, 78 alternation data, and 24 data of congruent lexicalization. The use of code-mixing is influenced by several factors, such as lexical needs, emphasizing something, filling and connecting sentences, repetition for clarification, talking about certain topics, refining requests or orders, and the efficiency of a conversation.
Khairunnisa et al. (Fri,) studied this question.