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In conversation, turn-taking is usually fluid, with next speakers taking their turn right after the end of the previous turn. Most, but not all, previous studies show that next speakers start to plan their turn early, if possible already during the incoming turn. The present study makes use of the list-completion paradigm (Barthel et al., 2016), analyzing speech onset latencies and eye-movements of participants in a task-oriented dialogue with a confederate. The measures are used to disentangle the contributions to the timing of turn-taking of early planning of content on the one hand and initiation of articulation as a reaction to the upcoming turn-end on the other hand. Participants named objects visible on their computer screen in response to utterances that did, or did not, contain lexical and prosodic cues to the end of the incoming turn. In the presence of an early lexical cue, participants showed earlier gaze shifts toward the target objects and responded faster than in its absence, whereas the presence of a late intonational cue only led to faster response times and did not affect the timing of participants' eye movements. The results show that with a combination of eye-movement and turn-transition time measures it is possible to tease apart the effects of early planning and response initiation on turn timing. They are consistent with models of turn-taking that assume that next speakers (a) start planning their response as soon as the incoming turn's message can be understood and (b) monitor the incoming turn for cues to turn-completion so as to initiate their response when turn-transition becomes relevant.
Language of Responsibility. The Influence of Linguistic Abstraction on Collective Moral Emotions
(2017)
Two experiments investigated the effects of linguistic abstractness on the experience of collective moral emotions. In Experiment 1 participants were presented with two scenarios about ingroup misbehavior, phrased using descriptive action verbs, interpretative action verbs, adjectives or nouns. The results show that participants experienced slightly more negative moral emotions with higher levels of linguistic abstractness. In Experiment 2 we also tested for the influence of national identification on the relationship between linguistic abstractness and emotional reactions. Additionally, we expanded the number of scenarios. Experiment 2 replicated the earlier pattern, but found larger differences between conditions. The strength of national identification did not moderate the observed effects. The results of this research are discussed within the context of the linguistic category model and psychology of collective moral emotions.
Rückblick 2017
(2017)
This paper analyses the XVIII century German translations of 'Les aventures de Télémaque' (1699) by François de Salignac de la Mothe Fénelon. In that century, Fénelon's masterpiece was translated into German mainly by four authors (August Bohse, Benjamin Neukirch, Josef Anton Ehrenreich, Ludwig Ernst Faramond), who adapted the text according not only to the historical period, but also to their own purpose, creating completely different works. They transformed the original text in different text genres, from a utopian novel with political and pedagogical aims to a text in verse form for didactic purposes, or to an epic poem with pedagogical functions. To investigate the differences between the translations the paper will focus especially on the macrostructural and the paratextual elements in order to make preliminary hypothesis on 1) the text genre, 2) the functions of the text and 3) the expected audience. Examples and final conclusions will end the article.
Die Diskurslinguistik als relativ neue Teildisziplin der germanistischen Linguistik beschäftigt sich mit der Frage, wie soziale Wirklichkeiten in transtextuell organisierten Einheiten konstruiert werden. Bisher finden dabei noch kaum Texte aus digitalen Medien (z. B. aus Facebook, Twitter oder Wikipedia) Berücksichtigung. Das Netzwerk vereint die unten genannten WissenschaftlerInnen, die in ihren Projekten an der Analyse digitaler Diskurse arbeiten und dabei digitale Methoden der Korpuslinguistik bzw. Digital Methods nutzen.