Mood congruency in COVID-19 podcast discourse: an interpersonal meaning analysis

Abstract

With the advent of podcasts, individuals are increasingly engaging with a diverse range of topics, from entertainment and education to news and personal narratives. In the wake of the global COVID-19 pandemic, podcasts have emerged as an influential platform for disseminating information. This current study attempts to depict the realization of Mood congruency in COVID-19 podcast discourse. Departing from qualitative approach, content analysis was employed as research design. The source of the data was obtained from Dedy Corbuzier’s YouTube Channel with Uus (comedian) as the guest in 2021 when COVID-19 case was known and recognized in Indonesia for the first time. The data were in the form of clauses obtained from the utterances from them. The utterances were electronically transcribed using sonix.ai before being rechecked manually to improve the data's reliability. From the analysis, it was found that the variation of Mood is appeared in the form of congruent and incongruent (grammatical metaphorical representation). The congruent representation shows how utterance should be in the form as it is. On the other hand, the grammatical metaphorical representation of Mood brings out the variation such as statement realized in interrogative, and command in declarative Mood. The incongruency can perform an indication of speakers’ creativity and politeness in interaction.