A mulher da casa abandonada: storytelling e subjetividade em mídia sonora

Abstract

The purpose of this work is to analyze the narrative language presented in the podcast “A Mulher da Casa Abandonada” and mapping the marks of subjectivity of the podcast narrator. The problem of this research aims to discover: what are the marks of the narrator's subjectivity in “A Mulher da Casa Abandonada” and how are they linked to the use of storytelling in contemporary audio journalism? So, the general objective of the work is to analyze the use of the narrator's subjectivity and evaluate the storytelling in the scripts of the podcast “A Mulher da Casa Abandonada”. The specific objectives involve: research into contemporary audio journalism (more specially podcasts) and how they have risen in this context; investigating how subjectivity manifests itself in journalism; and mapping the podcast narrator’s marks of subjectivity. The work wants to affirm its relevance by proposing to understand how storytelling and subjectivity journalism are being used in contemporary audio journalism, assuming a current and more innovative study proposal. For narrative/literary journalism and storytelling in journalism, we have as a reference support Karenine M. R. Cunha, Paulo F. Mantello, Monica Martinez, Muniz Sodré, Felipe Pena and Edvaldo Pereira Lima. For narrative podcasts, we have Marcelo Kischinhevsky, Laís Cerqueira Fernandes, Christina Ferraz Musse and Luana Viana as a reference base. The methodology used was Bardin's Content Analysis (1977) and was based on the Final Work for the Course “Subjectivity journalism in narrative podcasts: an analysis of “Praia dos Ossos” by Dirksen (2023). The research follows the steps proposed by Bardin (1977) of pre-analysis, exploration of the material or codification and inferences. As one of the obtained results, we got the formulation of three categories for the excerpts where the narrator's subjectivity is perceived: Description, Opinion and Direct dialogue with the listener. Furthermore, the three categories have a total of 21 markers, which indicate the specificities of the selected excerpts for analysis.