Uma análise dos fenômenos da fala em conversas no WhatsApp

Abstract

In this work, we propose to analyze the connection between the speech and the writing in WhatsApp messages, intending to identify speech phenomena in light of the various linguistic theories emerged from Textual Linguistics, in manifestations arisen from everyday interactions in conversations in the environment of the WhatsApp application. In this way, our observations started from the amplified conception about what is a text, under the current ways in which we relate to writing, made possible by the internet through technological resources. The choice of our research locus is justified by its approximation to characteristics of the oral genre, spontaneous conversation arisen from the use of its available tools, giving us a potential corpus for our analyses. In this way, we intend to analyze, with an amplified look to the limit of text, the characteristics of both uses of the language, from which the current theories pull away the dichotomous perspective, making us recognize spoken text construction activities. Therefore, we will be attentive to the recurrences of which the participants rely on to build meanings in the speech events in WhatsApp conversations. For this purpose, we have the technical support of Koch (2006; 2009, 2013), Marcuschi (2007), Cavalcante e Custódio Filho (2010), Fonseca (2011), Cavalcante (2013), Fonte e Caiado (2014), Barbosa (2016), Pereira Lima Carvalho e Acioli (2017) and Oliveira (2018). The corpus of our work was gathered from WhatsApp conversations’ screenshots, from three distinct group chats which are a working-environment group chat which conversations are intended to be more limited to business-related matters; a group chat of friends with unconstrained chat themes, and a group chat with a private contact. In the period of gathering information, we dedicated to observe the interactions between speakers, verifying that the speech and the writing maintain a relation in the crisscross of its characteristics, such as the formality and informality levels of the interactions, which influence these interactions’ dynamics, the writing, the topical progression, the answer time, among other aspects that enabled us to identify speech marks in WhatsApp conversations, as we will prove in the course of our work.