Journal für Medienlinguistik : jfml = Journal for media linguistics
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Narratives 2.0 : a multi-dimensional approach to semi-public storytelling in WhatsApp voice messages
(2019)
Based on a corpus of voice message narratives in German WhatsApp group chats, the present study contributes to research on social media storytelling in that it focusses on stories of personal experience which are embedded in a communication platform which favours a continuous dialogic exchange, narrated to well-defined non-anonymous publics and multimodal (comprised of visual and audible posting types). To capture the characteristics of this type of social media storytelling, the paper argues that Ochs and Capps’ (2001) dimensional model originally developed for conversational narratives (including the dimensions of tellability, tellership, embeddedness, linearity, moral stance) should be expanded by the dimensions of publicness, multimodality and sequencing. The prototype of storytelling in WhatsApp group chats is based on recent personal experiences; it is related by a single teller as an initial, sequentially non-embedded and linearly organised “big package” story (in a single voice message sometimes introduced by a text message containing an abstract); other group members routinely document their evaluative stances in rather conventionalised text message responses in the semi-public group space.
The aim of this paper is to present the results of an empirical analysis of the use of non-alphabetic graphic signs (e.g. asterisks, slashes, plus signs etc.) in the context of repairs in Russian and German informal electronic communication. The data for the analysis were taken from the “Mobile Communication Database MoCoDa” (http://mocoda.spracheinteraktion.de/), which contains Russian and German private electronic communication via SMS, WhatsApp and other short message services, and the “Dortmunder Chat-Korpus” (http://www.chatkorpus.tu-dortmund.de/korpora.html). This paper describes the functions of various graphic resources in the context of repairs in both data collections and compares the occurrences of these functions in current Russian and German computer-mediated communication. It concludes that particular signs in both data sets share the same subset of functions, but they differ in terms of how frequently these resources occur in each form of communication.