Shaping values with "YouTube freedoms": linguistic representation and axiological charge of the popular science IT-discourse.

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ID: 73221
2019
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Abstract
Drawing on the studies of linguistics, axiology and discourse analysis, this paper contributes to the linguistic framework of value-based communication studies by establishing the algorithm of shaping values in popular science IT discourse via the set of linguo-axiological methods. The authors' aims include establishing dominating communicative strategies employed by the authors of the texts; identifying language structures and lexical means responsible for the both explicit and implicit formation and verbalization of certain values represented in the texts about YouTube; organizing the identified values into a system as presented by the authors of the texts. The paper uncovers dominant YouTube text characteristics, focusing on the instrumental role of values this type of discourse represents, and implements a complex methodological set (CDA and linguo-axiological analysis) in order to outline three basic communicative strategies that the authors of the texts employ: the information strategy; the instruction strategy; the evaluation strategy. The conducted research reveals that the texts of mass media about YouTube contain the following values, classified by the authors into three axiological groups: relevance (approval, authenticity, entertainment, fame, influence, popularity); relationship (accessibility, connection, feedback, relatability); profession (career, competitiveness, money, promotion, time). The results of the study include theoretical conclusions about how the modern-day discourse of information technology (IT-discourse) reflects both fundamental and profession-specific human values, thus shaping the way addressees perceive the industry through language. These findings make it possible to form a new type of IT-discourse text architecture, which would take into account the pragmatic-axiological charge necessary to shape and divert the set of addressees' values.
Reference Key
shiryaeva2019shapingheliyon Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Shiryaeva, Tatyana;Arakelova, Amaliya;Golubovskaya, Elena;Mekeko, Nataliya;
Journal Heliyon
Year 2019
DOI
10.1016/j.heliyon.2019.e02988
URL
Keywords
discourse analysis values youtube linguistics communicative strategy it-discourse value system

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