This study explores code-switching patterns in social media communication among multilingual users. With the rise of digital platforms, language use has evolved, particularly through code-switching the practice of alternating between languages or dialects within conversations. Although code switching has been traditionally studied in face-to-face scenarios, in digital space it is still under-researched. The study uses a quantitative mixed-methods study design and investigates Twitter, Facebook, and Instagram data through natural language processing and statistical software. Research indicates codeswitching to be more frequent in informal settings and among younger users. The three major patterns, intra-sentential, inter-sentential, and tag-switching, could be established with the effect of platform constraints as well as identity signaling affecting behavior. Links between language use, topic sensitivity, and audience were illuminated with logistic regression. The paper unveils how code-switching plays a strategic part in its search among the audience, identity, and platform norms.