AN ANALYSIS OF LANGUAGE VARIATION IN SOUTH ASIAN TALK SHOWS: A SOCIOLINGUISTIC STUDY
Keywords:
Language variation, code switching, South Asian, talk shows, identityAbstract
This study investigates the sociolinguistic variation in two South Asian celebrity talk shows, Koffee with Karan (Indian) and Tonite with HSY (Pakistan). Talk shows provide a semi-natural conversational environment where speakers continuously adjust their linguistic choices according to social context, audience expectations, and identity performance. The study deals with the key features of sociolinguistic inquiry, including patterns of code-switching between English/Hindi, lexical choices, style shifting, discourse markers and level of formality in addresser forms. The study uses a qualitative method and adopts Labov’s framework of language variation. This study contributes to sociolinguistics, media discourse analysis, and South Asian language studies. Data is collected from selected episodes from both shows, revealing that English language functions as a linguistic capital, while Urdu and Hindi languages contribute to cultural identity construction. Selected episodes from these shows are analyzed to examine how guests and hosts negotiate social identity, prestige, and power relations through language use. Additionally, hosts play a significant role in shaping linguistic style through questioning patterns and interactional control. The finding of this analysis show that both celebrities reflect their own cultural variation, and switching in the utterance is not random; it is systematic, conditioned by social factors such as celebrity status, interactional contexts, and professional identity. Switching between languages does not merely emerge as a bilingual practice but also as a symbolic resource for constructing modernity, intimacy, authority and humor. Code switching also reveals similarities and differences between Pakistani and Indian media discourse in representing elite urban speech styles.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.











