In this article, we argue that the spatial environment of everyday interaction has to be understood as a social construct. Co-participants in an interaction make use of the spatial affordances of the interactional architecture around them, and at the same time they interactionally create and maintain spatial configurations. In that sense, they can be argued to be "doing space". Concerning face-to-face interaction, we distinguish between heavily structured material settings that are custom-built for specific types of institutionalized interactions, such as lecture theatres, assembly halls or service encounters; moderately structured settings, such as restaurants, staff rooms or museums; and weakly structured settings, such as public town squares or other settings which provide only minimal assumptions about the interactions that may take place there and their spatial configurations. We extend this analysis to different forms of interaction on interactive multimodal platforms (IMP), where the complexities increase with the different spatial levels of the physical computer screen, the many different spatial levels depicted there, and the increasing difficulties for the interactants to navigate and negotiate the different levels of doing space.
The paper provides an overview of the functions of emojis in everyday written communication – either used to complement or to replace text. The first chapter presents the current research literature on this topic and addresses the differences between unicode emojis and the former ASCII-signs. Then we discuss a question hotly debated by the public: May emojis be considered the basis of a new universal language? After having shown on both the lexical and the grammatical level that this cannot be the case we move on to the question whether, within our alphabetic system of writing, emojis may be used as additional graphic signs. The last chapter offers some examples of WhatsApp messages containing emojis in the various functions discussed before (as allographs and ideograms, for instance). Furthermore, a frequency analysis based on the Swiss WhatsApp corpus shows the distribution of emojis in these data.
The goal of this paper is to uncover the characteristic properties of postnominal adjectives and to describe selected samples in the generative framework of X-bar theory. After a descriptive account of the data we will classify the superficially similar constructions into eight subgroups and point out the factors determining the function of adjectives as attributes, predicates or adverbials. The focus of the generative analysis is on the syntax of those uninflected bare adjectives which immediately follow the modifyee without intonational break as attributive modifiers, as for example constructions of the type
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