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            Multimodale Kommunikation im Social Web

            Forschungsansaetze und Analysen zu Text–Bild-Relationen

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            Author(s)
            Siever, Christina Margrit
            Language
            German
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            Abstract
            Multimodalität ist ein typisches Merkmal der Kommunikation im Social Web. Der Fokus dieses Bandes liegt auf der Kommunikation in Foto-Communitys, insbesondere auf den beiden kommunikativen Praktiken des Social Taggings und des Verfassens von Notizen innerhalb von Bildern. Bei den Tags stehen semantische Text-Bild-Relationen im Vordergrund: Tags dienen der Wissensrepräsentation, eine adäquate Versprachlichung der Bilder ist folglich unabdingbar. Notizen-Bild-Relationen sind aus pragmatischer Perspektive von Interesse: Die Informationen eines Kommunikats werden komplementär auf Text und Bild verteilt, was sich in verschiedenen sprachlichen Phänomenen niederschlägt. Ein diachroner Vergleich mit der Postkartenkommunikation sowie ein Exkurs zur Kommunikation mit Emojis runden das Buch ab.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/169815
            Keywords
            Analysen; Bildlinguistik; Flickr; Forschungsansätze; Foto-Communitys; Kommunikat; Kommunikation; Multimediale; Multimodale; Multimodalität; Relationen; Siever; Social; Text–Bild; thema EDItEUR::C Language and Linguistics::CB Language: reference and general::CBX Language: history and general works; thema EDItEUR::C Language and Linguistics::CF Linguistics::CFG Semantics, discourse analysis, stylistics; thema EDItEUR::D Biography, Literature and Literary studies::DS Literature: history and criticism::DSA Literary theory
            DOI
            10.3726/978-3-653-04420-1
            ISBN
            9783653986280;9783631651612
            Publisher
            Peter Lang International Academic Publishing Group
            Publication date and place
            Bern, 2015-09-18
            Series
            Sprache – Medien – Innovationen,
            Pages
            495
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            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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