This study investigates the phenomenon of code-mixing in the YouTube content of Qania Fanani. The research aims to analyze the types of code-mixing used in her content, focusing on insertion and alternation, as classified by Muysken’s (2013) framework. Additionally, this study explores the social factors influencing her use of code-mixing, based on Agustina’s (2015) categorization. A qualitative approach was employed, utilizing text analysis to examine transcripts from four selected vlogs. The findings reveal that insertion is the most frequently occurring type of code-mixing, with 250 insertion, followed by 29 instances of alternation. The analysis further indicates that Qania Fanani’s code-mixing is influenced by various social factors, with multilingualism and vocabulary gaps being the most dominant. This study contributes to sociolinguistic research by demonstrating how digital content creators utilize code-mixing to bridge linguistic and cultural gaps in online communication. Future studies may explore the impact of code-mixing on audience perception and language acquisition in digital media contexts.