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dc.contributor.authorArce García, Sergio (1)
dc.contributor.authorOrviz Martínez, Natalia (1)
dc.contributor.authorCuervo Carabel, Tatiana (1)
dc.date2020-09
dc.date.accessioned2021-03-17T15:02:24Z
dc.date.available2021-03-17T15:02:24Z
dc.identifier.issn1386-6710
dc.identifier.urihttps://reunir.unir.net/handle/123456789/11105
dc.description.abstractThe use of Twitter by newspapers is widespread and is a way to keep readers informed in real time. In this article, we analyze the discourse of the messages released by the ten main general information newspapers in Spain and the reactions they provoked on the social network. The objective is to analyze whether the emotional discourse of the news in each newspaper caused greater dissemination among and attention from users, as well as to determine the emotions and feelings expressed by them. To do so, news about important events such as court judgements, street riots, and general elections was followed between October and November 2019. A total of 124,897 tweets collected using machine-learning techniques were analyzed by the application of algorithms which allowed the determination of emotions and valences of feelings. We carried out statistical studies and produced graphs showing the dependence between emotional variables and positive or negative sentimental valence. The results showed that, in general, newspapers do not use an excessive amount of emotional speech with the aim of impacting their public. However, differences were found among the newspapers in terms of trying to encourage reader loyalty. The reaction of the users was more linked to the informative facts themselves and the emotions they provoked than to the type of emotional and/or polarized discourse. The day-to-day information determines to a large extent what is consumed by Twitter users, in which changing modes of speech are observed depending on the editorial line of each newspaper.es_ES
dc.language.isospaes_ES
dc.publisherProfesional de la Informaciónes_ES
dc.relation.ispartofseries;vol. 29, nº 5
dc.relation.urihttps://revista.profesionaldelainformacion.com/index.php/EPI/article/view/77965es_ES
dc.rightsrestrictedAccesses_ES
dc.subjectprensa digitales_ES
dc.subjectdiarioses_ES
dc.subjectperiodismo digitales_ES
dc.subjectmachine learninges_ES
dc.subjectredes socialeses_ES
dc.subjectmedios socialeses_ES
dc.subjectTwitteres_ES
dc.subjectemocioneses_ES
dc.subjectsentimientoses_ES
dc.subjectpolaridades_ES
dc.subjectpluralismo informativoes_ES
dc.subjectdiscursoses_ES
dc.subjectreaccioneses_ES
dc.subjectopinión públicaes_ES
dc.subjectdigital mediaes_ES
dc.subjectnewspaperses_ES
dc.subjectdigital journalismes_ES
dc.subjectsocial networkses_ES
dc.subjectsocial mediaes_ES
dc.subjectemotionses_ES
dc.subjectfeelingses_ES
dc.subjectpolarityes_ES
dc.subjectmedia pluralismes_ES
dc.subjectspeeches_ES
dc.subjectreactionses_ES
dc.subjectpublic opiniones_ES
dc.subjectJCRes_ES
dc.subjectScopuses_ES
dc.titleImpacto de las emociones vertidas por diarios digitales en Twitteres_ES
dc.title.alternativeImpact of emotions expressed by digital newspapers on Twitteres_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttp://doi.org/10.3145/epi.2020.sep.20


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