<![CDATA[This study contributes to the field of digital sociolinguistics by examining intra-sentential code-mixing in Indonesian Generation Z (Gen Z) YouTube podcast discourse, a context that remains underexplored in research on spoken digital media. This study aims to investigate the occurrence and patterns of intra-sentential code-mixing in Indonesian Gen Z's YouTube podcast conversations. A qualitative research design was employed to analyze naturally occurring speech in online interactions. The dataset consisted of 10 YouTube podcast videos featuring Gen Z speakers discussing daily life and entertainment-related topics. The analysis identified 190 instances of intra-sentential code-mixing, categorized into three structural levels: 110 word-level occurrences, 55 phrase-level occurrences, and 25 sentence-level occurrences. Word-level code-mixing emerged as the most dominant form, indicating its frequent use in spontaneous digital communication. Phrase-level and sentence-level forms were also present, reflecting varying degrees of bilingual integration within conversational speech. The findings suggest that the interchange of cultural exposure, technological affordances, and social environments shapes multilingual practices among Indonesian Gen Z. The dominance of word-level insertion indicates a tendency toward efficient lexical borrowing within fluid bilingual speech. Meanwhile, higher-level mixing forms uncover speakers’ ability to alternate and integrate languages flexibly depending on communicative needs and interactional context. Intra-sentential code-mixing is shown to function as a normalized communicative strategy rather than a deviation from standard language use. It reflects the adaptive linguistic behavior of digital-native speakers in multilingual settings. This study discloses the dynamic and evolving nature of bilingual discourse in contemporary digital spaces. It contributes to a beneficial understanding of language practices among Indonesian Gen Z in online spoken media.]]>
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