ESTRATÉGIAS DE POLIDEZ E PRESERVAÇÃO DA FACE NO MESACAST PODDELAS: UM ESTUDO DE CASO

Abstract

With the emergence of the internet, especially the web, new forms of communication have been created, completely changing the way interviews are conducted. Among these innovations is the podcast, a new form of audio and video program—available through music apps like Spotify and video platforms like YouTube—aimed at a diverse audience. PodDelas is an example of a "mesacast," a variation of the podcast where hosts and guests gather around a table to discuss certain topics. This study aims to examine politeness theory and face maintenance during interactions in an episode featuring actress Luana Piovani on the PodDelas podcast. Politeness theory, proposed by Brown & Levinson (1987), addresses how people use strategies to avoid offenses and preserve their face, meaning the image they wish to present in social settings. The objective of this study is to identify how the hosts and the guest employ politeness strategies to maintain interaction, especially during moments of potential conflict. Mitigation strategies are observed to prevent conflicts, both in language and non-verbal communication. The analysis includes the audience's reaction, collected from viewer comments in the live chat during the broadcast, considering how this interaction can influence the program's dynamics. The study investigates whether there were moments when the participants' positive or negative face was threatened and how these situations were alleviated, which can define the overall atmosphere of the program and how it is remembered by the audience. It analyzes how Luana Piovani manages her face in an informal and live setting, as this can impact her public image. The findings provide significant implications for the study of face and politeness strategies in digital media and the analysis of interactions in podcasts, contributing to a better understanding of how a public persona can influence face strategies. This study can also impact communication practices in podcasts and other digital media, highlighting the importance of considering the public image of well-known figures when analyzing their interactions.