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A large database is a desirable basis for multimodal analysis. The development of more elaborate methods, data banks, and tools for a stronger empirical grounding of multimodal analysis is a prevailing topic within multimodality. Prereq- uisite for this are corpora for multimodal data. Our contribution aims at developing a proposal for gathering and building multimodal corpora of audio-visual social media data, predominantly YouTube data.Our contribution has two parts: First we outline a participation framework which is able to represent the complexity of YouTube communication. To this end we ‘dissect’ the different communicative and multimodal layers YouTube consists of. Besides the Video performance YouTube also integrates comments, social media operators, commercials, and announcements for further YouTube Videos. The data consists of various media and modes and is interactively engaged in various discourses. Hence, it is rather difficult to decide what can be considered as a basic communicative unit (or a ‘turn’) and how it can be mapped. Another decision to be made is which elements are of higher priority than others, thus have to be integrated in an adequate transcription format. We illustrate our conceptual considerations on the example of so-called L e t’s Plays, which are supposed to present and comment Computer gaming processes.The second part is devoted to corpus building. Most previous studies either worked with ad hoc data samples or outlined data mining and data sampling strategies. Our main aim is to delineate in a systematic way and based on the conceptual outline in the first part necessary elements which should be part of a YouTube corpus. To this end we describe in a first Step which components (e.g., the Video itself, the comments, the metadata, etc.) should be captured. ln a second Step we outline why and which relations (e.g., screen appearances, hypertextual struc- tures, etc.) are worth to get part of the corpus. In sum, our contribution aims at outlining a proposal for gathering and systematizing multimodal data, specifically audio-visual social media data, in a corpus derived from a conceptual modeling of important communicative processes of the research object itself.
Ende des 18. Jahrhunderts ist eine Form der deutschen Sprache ausgebildet und verbreitet, die für die verschiedenartigen Anforderungen einer bürgerlich geprägten öffentlichen Diskurswelt brauchbar ist. Sie lässt sich in einem historischen Konzept „Standardsprache“ deuten. In diesem Konzept werden verschiedene Ausgleichs- und Differenzierungsbemühungen – und -richtungen – des 17. Jahrhunderts aufgehoben, die entwickelten Möglichkeiten neu funktionalisiert. Von dieser Basis aus gesehen ist in der Gegenwart die kommunikative Praxis mit Anspruch auf öffentliche Geltung stark von Variation geprägt. Durch die dabei auftretenden Muster wird allmählich ein Modell kontextbezogener Variabilität etabliert, bei dem so etwas wie „Standard“ in einer Bandbreite von Konstellationen der Interaktion, sprachlichen Modellen und Ausdrucksweisen besteht. Um dieses normative Gefüge modellieren zu können, muss man, wie beispielhaft angedeutet wird, zunächst die Tatbestande und Bedingungen der Varianten genau untersuchen.