Linguistic (in)directness in twitter ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
Linguistic (in)directness in twitter complaints: A contrastive analysis of railway complaint interactions
Auteur(s) :
Depraetere, Ilse [Auteur]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Decock, Sofie [Auteur]
Universiteit Gent = Ghent University [UGENT]
Ruytenbeek, Nicolas [Auteur]
Universiteit Gent = Ghent University [UGENT]
Savoirs, Textes, Langage (STL) - UMR 8163 [STL]
Decock, Sofie [Auteur]
Universiteit Gent = Ghent University [UGENT]
Ruytenbeek, Nicolas [Auteur]
Universiteit Gent = Ghent University [UGENT]
Titre de la revue :
Journal of Pragmatics
Pagination :
215-233
Éditeur :
Elsevier
Date de publication :
2021-01
ISSN :
0378-2166
Discipline(s) HAL :
Sciences de l'Homme et Société/Linguistique
Résumé en anglais : [en]
In this paper we describe and apply a method probing into linguistic (in)directness in complaint tweets. The sample analyzed consists of French-language Twitter complaint interactions, half of which are between the SNCF ...
Lire la suite >In this paper we describe and apply a method probing into linguistic (in)directness in complaint tweets. The sample analyzed consists of French-language Twitter complaint interactions, half of which are between the SNCF (the French National Railway company) and its customers and half between the SNCB (the Belgian National Railway company) and its customers. The aim of this paper is two-fold: first, we present and test a methodology that measures the explicitness (or linguistic (in)directness) of complaints, which, we argue, in line with Decock and Depraetere (2018), must be differentiated from perceived (im)politeness or perceived face-threat. Linguistic (in)directness is analyzed in the complete complaint situation, that is, in the first tweet as well as in the ensuing interaction. Secondly, as the sample shows differences in the realization of complaints in two linguistically close communities, we put forward some hypotheses concerning the relative impact of cultural differences and the companies’ response strategy.Lire moins >
Lire la suite >In this paper we describe and apply a method probing into linguistic (in)directness in complaint tweets. The sample analyzed consists of French-language Twitter complaint interactions, half of which are between the SNCF (the French National Railway company) and its customers and half between the SNCB (the Belgian National Railway company) and its customers. The aim of this paper is two-fold: first, we present and test a methodology that measures the explicitness (or linguistic (in)directness) of complaints, which, we argue, in line with Decock and Depraetere (2018), must be differentiated from perceived (im)politeness or perceived face-threat. Linguistic (in)directness is analyzed in the complete complaint situation, that is, in the first tweet as well as in the ensuing interaction. Secondly, as the sample shows differences in the realization of complaints in two linguistically close communities, we put forward some hypotheses concerning the relative impact of cultural differences and the companies’ response strategy.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
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