Right-wing immigration narratives in Spain: A study of persuasion on Instagram Stories.

dc.contributor.authorJaramillo Dent, Daniela
dc.contributor.authorContreras Pulido, Paloma
dc.contributor.authorPérez Rodríguez, María Amor
dc.date.accessioned2021-05-18T08:06:18Z
dc.date.available2021-05-18T08:06:18Z
dc.date.issued2021-05-13
dc.description.abstractEphemeral media has become a staple of today’s social media ecology. This study advances the first exploratory analysis of Instagram Stories as a format for political communication. Through an initial content analysis of 832 stories in three verified Vox accounts and a secondary content and discourse analysis of 114 stories, we delve into the strategies used by right-wing party Vox in Spain to portray immigration as an issue for ideological positioning. The findings shed light onto the ways in which the representation of migrants is employed as an instrument for anti-migratory policy support, through the construction of a very specific profile of migrant in terms of age and gender and the exclusion of significant migrant populations from the argument. Moreover, the party employs the content creation functionalities of Instagram Stories to construct arguments and storylines where diverse information sources converge, effectively bypassing traditional media and reaching their supporter base directly.es_ES
dc.description.departmentFilología
dc.description.sponsorshipThis work was supported by 'Alfamed' (Euro-American Research Network), under Grant R+D+I Project (2019-2021), entitled "Youtubers and Intagrammers: Media competence in emerging prosumers", with code RTI2018-093303-B-I00, financed by the Spanish Ministry of Science, Innovation and Universities and the European Regional Development Fund (ERDF), and the R+D-i Project (2020-2022), entitled "Instagrammers and youtubers for the transmedia empowerment of Andalusian citizens. The media competence of instatubers", with code P18-RT-756, financed by the Andalusian Regional Government in the 2018 call (Andalusian Research, Development and Innovation Plan, 2020) and the European Regional Development Fund (ERDF).This work was supported by 'Alfamed' (Euro-American Research Network), under Grant R+D+I Project (2019-2021), entitled "Youtubers and Intagrammers: Media competence in emerging prosumers", with code RTI2018-093303-B-I00, financed by the Spanish Ministry of Science, Innovation and Universities and the European Regional Development Fund (ERDF), and the R+D-i Project (2020-2022), entitled "Instagrammers and youtubers for the transmedia empowerment of Andalusian citizens. The media competence of instatubers", with code P18-RT-756, financed by the Andalusian Regional Government in the 2018 call (Andalusian Research, Development and Innovation Plan, 2020) and the European Regional Development Fund (ERDF).
dc.identifier.citationJaramillo-Dent, D., Contreras-Pulido, P., & Pérez-Rodríguez, M. A. (2021). Right-wing immigration narratives in Spain: A study of persuasion on Instagram Stories. European Journal of Communication. https://doi.org/10.1177/02673231211012157es_ES
dc.identifier.issn0267-3231
dc.identifier.issn1460-3705
dc.identifier.urihttp://hdl.handle.net/10272/19855
dc.language.isoenges_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectComunicaciónes_ES
dc.subjectEducaciónes_ES
dc.subject.otherRight-winges_ES
dc.subject.otherImmigrationes_ES
dc.subject.otherInstagrames_ES
dc.subject.otherMedia representationes_ES
dc.subject.otherSocial mediaes_ES
dc.subject.otherContent analysises_ES
dc.subject.otherDiscourse analysises_ES
dc.subject.unesco5910.02 Medios de Comunicación de Masases_ES
dc.subject.unesco5801.01 Medios Audiovisualeses_ES
dc.titleRight-wing immigration narratives in Spain: A study of persuasion on Instagram Stories.es_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublication33314f13-89b3-46b7-b1de-c05f38e1aa8f
relation.isAuthorOfPublication57c5a0f9-1a14-40f2-9061-385e5025d387
relation.isAuthorOfPublication.latestForDiscovery33314f13-89b3-46b7-b1de-c05f38e1aa8f

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