Mostrar el registro sencillo del ítem
dc.contributor.author | Saz Rubio, María Milagros del | es_ES |
dc.date.accessioned | 2024-05-20T18:08:56Z | |
dc.date.available | 2024-05-20T18:08:56Z | |
dc.date.issued | 2023-03 | es_ES |
dc.identifier.issn | 0378-2166 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/204303 | |
dc.description.abstract | [EN] This paper analyzes impoliteness-related language in response to a season's greeting posted by the Prime Ministers of Spain and the UK on December 2022 to wish Twitter users a Felices Fiestas/Merry Christmas. A corpus made up of the first 500 tweet events mentioning Sanchez and Johnson with the @ feature was analyzed through the combination of qualitative and quantitative tools and an impoliteness2 approach to compare the most commonly deployed impoliteness strategies in response to what is felt as an offense by respondents from the two cultures. Previous impoliteness taxonomies inform the analysis (Culpeper, 1996, 2011). Findings reveal a preference for on-record strategies vs. off-record ones in both corpora. Whereas the English respondents oriented themselves towards attacking the negative face of the Prime Minister and that of other participants with sarcasm and implicated impoliteness, the Spanish group deployed impoliteness-related language to disparage the Prime Minister's positive face through insults and the rectification of his words. The hostile acts and explicit metalanguage about emotional states in the replies to the expressive speech act corroborate the perceived breach of some aspects of the moral order on the part of the Twitter users in the out-group, hence aiding the already observed polarization of political discussions. | es_ES |
dc.description.sponsorship | This research is part of the project entitled "Creation of a database, identification and classification of aggressive language on Twitter in English, French and Spanish (AGRETUITEFI) funded by Generalitat Valenciana. Award number AICO/2021/060. Open Access publication has been financed by Universitat Politecnica de Valencia. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Journal of Pragmatics | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Impoliteness-related language | es_ES |
dc.subject | Tweet events | es_ES |
dc.subject | Expressive speech-acts | es_ES |
dc.subject | Moral order | es_ES |
dc.subject | Technologically-mediated communication | es_ES |
dc.subject.classification | FILOLOGIA INGLESA | es_ES |
dc.title | Assessing impoliteness-related language in response to a season's greeting posted by the Spanish and English Prime Ministers on Twitter | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.pragma.2023.01.010 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//AICO%2F2021%2F060//CREACIÓN DE UNA BASE DE DATOS, IDENTIFICACIÓN Y CLASIFICACIÓN DEL LENGUAJE AGRESIVO EN TWITTER EN ESPAÑOL, FRANCÉS E INGLÉS / | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural | es_ES |
dc.description.bibliographicCitation | Saz Rubio, MMD. (2023). Assessing impoliteness-related language in response to a season's greeting posted by the Spanish and English Prime Ministers on Twitter. Journal of Pragmatics. 206:31-55. https://doi.org/10.1016/j.pragma.2023.01.010 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.pragma.2023.01.010 | es_ES |
dc.description.upvformatpinicio | 31 | es_ES |
dc.description.upvformatpfin | 55 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 206 | es_ES |
dc.relation.pasarela | S\498154 | es_ES |
dc.contributor.funder | GENERALITAT VALENCIANA | es_ES |
dc.contributor.funder | Universitat Politècnica de València | es_ES |