Language in social networks as a communication strategy: public administration, political parties and civil society
| dc.contributor.affiliation | Universidade de Santiago de Compostela. Departamento de Ciencias da Comunicación | gl |
| dc.contributor.author | García Orosa, Berta | |
| dc.contributor.author | López García, Xosé | |
| dc.date.accessioned | 2020-04-01T11:50:06Z | |
| dc.date.available | 2020-04-01T11:50:06Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | This paper studies the language of political actors on social networks from the concept of digital language with a communicative perspective. Attention is paid to tweets by political parties, public administrations and civil society related to Catalan politics over the last eight months. The main trends of digital language are confirmed for political language on Twitter, but are relativized by the majority use of a more formal register. In addition, the political language appears as hybrid, heterogeneous, multimodal, a continuation of the offline arena and with little narrative innovation. Within these general characteristics, the activation of innovative linguistic orthographic, lexical, syntactic or coherence elements draws specific strategies for each actor, without common features for the sectors but shows that they do converge at specific moments forming sociolects that seek to promote belonging to a community and protest against specific facts or the status quo. | gl |
| dc.description.peerreviewed | SI | gl |
| dc.description.sponsorship | The research has been carried out within the framework of the national I+D+i plan: Uses and preferences in the new media map in Spain: media models for mobile devices (ED341D R2016/019), belonging to the Spanish National Plan for Scientific and Technical Research and Innovation, a national subprogram of Knowledge Creation from the Spanish Ministry of Economy and Competitiveness, and the Xescom Network (Redes 2016 GI-1641 Xescom) | gl |
| dc.identifier.citation | García Orosa, B. & López, X. (2019). Language in social networks as a communication strategy: public administration, political parties and civil society. Communication & Society,32(1), 107-125. | gl |
| dc.identifier.doi | 10.15581/003.32.1.107-125 | |
| dc.identifier.essn | 2386-7876 | |
| dc.identifier.uri | http://hdl.handle.net/10347/21051 | |
| dc.language.iso | eng | gl |
| dc.publisher | Universidad de Navarra | gl |
| dc.relation.publisherversion | https://doi.org/10.15581/003.32.1.107-125 | gl |
| dc.rights | © 2019 Communication & Society. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-Noncommercial-NoDerivatives 4.0 | gl |
| dc.rights.accessRights | open access | gl |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Political communication | gl |
| dc.subject | Social networks | gl |
| dc.subject | Language | gl |
| dc.subject | gl | |
| dc.subject | Organizational communication | gl |
| dc.subject | Digital communication | gl |
| dc.subject | Political parties | gl |
| dc.subject | Associations | gl |
| dc.subject | Companies | gl |
| dc.subject | Comunicación política | gl |
| dc.subject | Redes sociales | gl |
| dc.subject | gl | |
| dc.subject | Comunicación organizacional | gl |
| dc.subject | Comunicación digital | gl |
| dc.subject | Partidos políticos | gl |
| dc.subject | Asociaciones | gl |
| dc.subject | Empresas | gl |
| dc.title | Language in social networks as a communication strategy: public administration, political parties and civil society | gl |
| dc.title.alternative | El lenguaje en redes sociales como estrategia comunicativa: administraciones públicas, partidos políticos y organizaciones civiles | gl |
| dc.type | journal article | gl |
| dc.type.hasVersion | VoR | gl |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 729cb1d1-8877-4fd9-84d3-05561d9a827b | |
| relation.isAuthorOfPublication | 1ce53217-b935-4507-b237-e023e54092a2 | |
| relation.isAuthorOfPublication.latestForDiscovery | 729cb1d1-8877-4fd9-84d3-05561d9a827b |
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