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Investigating multisemiotic persuasive practices by integrating computational methods and complementary theoretical frameworks. A Data-driven Approach to Digital Tourism Discourse Based on Systemic Functional Linguistics and Empirical Multimodality

Authors: Elena Mattei;

Investigating multisemiotic persuasive practices by integrating computational methods and complementary theoretical frameworks. A Data-driven Approach to Digital Tourism Discourse Based on Systemic Functional Linguistics and Empirical Multimodality

Abstract

This paper offers an understanding of the multilayered methodological framework developed and implemented to carry out a Digital Humanities project. The latter classified systematically visuo-linguistic features in contemporary tourism narratives by means of data-driven tagging models, annotations and statistical measurement of the frequency and variance of strategies across digital channels.

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Keywords

Paper, data-driven analysis, image processing and analysis, and methods, Long Presentation, analysis and methods, systemic functional linguistics, Media studies, annotation structures, Linguistics, software development, FOS: Languages and literature, systems, tourism discourse, digital humanities, empirical multimodality, data modeling, Communication studies

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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