The advance of populism in Europe and the positioning of this type of politics on the Web are both facts substantiated by scientific research. In this connection, a platform like Twitter serves as a stage for dissemination, interaction, mobilisation and building the personality of influencer/leaders and as a strategic tool for the selection of issues and for propaganda and fake news. The main objective is to know the impact that this communication model has on both digital users and the media, particularly in electoral processes. To this end, a quantitative-qualitative comparative content analysis, which studies the issue frame and the game frame, is performed on the personal Twitter accounts of Marine Le Pen (@MLP_officiel), the leader of Rassemblement National (RN) in France, Matteo Salvini (@matteosalvinimi), the leader of Liga Norte (LN) in Italy, and Santiago Abascal (@Santi_ABASCAL), the leader of Vox in Spain. In the context of the European elections held on the 26 May 2019, a sample of 2,187 tweets, user metrics (‘likes,’ retweets and comments) and their reproduction in the digital newspapers @lemondefr, @repubblica and @el_país are analysed. The initial results evince a strategic use of online tools, with a media and public response that reproduces the populist discourse of the far-right, to the point of making it go viral.

Introducción: El desorden informativo generado por la Covid-19 dibuja un escenario estratégico para la difusión de la falacia y la propaganda política. Las redes sociales, en modo eco-chamber, reproducen el discurso gubernamental de la confusión y la mentira y favorecen un clima de desinformación, desestabilizador de las democracias. En paralelo, los públicos digitales se instalan como prosumidores del bulo político en Twitter y se atisba una tendencia de los medios a combatir las fake news. Metodología: El objetivo principal es conocer qué marcas de desinformación identifican el mensaje del líder, qué papel juegan las audiencias en la producción y difusión de lo falso y qué procesos de verificación desarrollan las agencias de fact-checking (Pagella Politica, Maldito Bulo, Full Fact y PolitiFact) y los medios (La Repubblica, El País, The Guardian y The New York Times) en una situación de máximo riesgo. Sobre una muestra compuesta por tweets publicados por los presidentes de gobierno (n= 272), noticias relacionadas con la Covid-19 (n1=4.543) y bulos detectados en Twitter (n1=200) diseñamos una metodología de análisis de contenido cuantitativo-cualitativo y análisis crítico del discurso político. Se emplea el software SPSS de estadística aplicada. Resultados, discusión y conclusiones: Los resultados revelan el protagonismo de un lenguaje político falaz, que favorece la producción del bulo en la red y requiere la efectividad del sistema de fact-checking de agencias internacionales y medios de comunicación, para combatir lo falso, siempre, y más si cabe en momentos de una pandemia sanitaria sin precedentes.

The objective of this research is to study the reasons for the growing impact of sustainable slow fashion brands in the fashion industry and, in particular, how they manage their communication and which digital strategies they employ. We applied a mixed research methodology: a comparative content analysis of qualitative and quantitative indicators, as well as in-depth interviews with 10 professionals and experts in fashion and digital communication, with the aim of contrasting their opinions with the results of the study. The five sustainable fashion brands (YosoLOVEamor, LIFEGIST, ECOALF, Alohas, and ECOOLOGY) chosen are distinguished by the fact that they base their business projects on social and environmental responsibility, and their Instagram accounts were studied over a period. This paper demonstrates the social interest in and concern for sustainability, ethics, and corporate social responsibility in the fashion industry. Additionally, it is evident that slow fashion brands need to have a good online strategy, as it is the future of fashion. No greenwashing was found, but sustainable fashion is a controversial issue with no regulation and a short history, so it has to develop.

A time of turmoil and uncertainty is invading the public sphere. Under the framework of the 2020 US elections, populist leaders around the world supported Trump’s speech on Twitter, sharing a common ideology and language. This study examines which issues (issue frame), and strategies (game frame) framed the messages of populism on Twitter by analyzing the equivalences through Trump’s storytelling and checking the bias of the media in the coverage of the US elections. We selected a sample of tweets (n = 1497) and digital front pages of global newspapers (n = 112) from the date of the Trump/Biden face-to-face debate (29 September 2020) until the Democratic party candidate was proclaimed the winner of the elections by the media (7 November 2020). Using a content analysis method based on triangulation (quantitative and qualitative-discursive), we analyzed the Twitter accounts of five leaders (@realDonalTrump, @MLP_officiel, @matteosalvinimi, @Santi_ABASCAL, and @Jairbolsonaro) and five digital front pages (The New York Times, O Globo, Le Monde, La Repubblica, and El País). The results show that populist politicians reproduced the discourse of fraud and conspiracy typical of Trump’s politics on Twitter. The negative bias of the media was also confirmed, giving prominence to a rhetoric of disinformation that overlaps with the theory of populism.

El término influencer se define como la nueva versión del líder de opinión que convive en el entorno online y tiene la capacidad de influir en un determinado colectivo para modificar sus opiniones, beneficiándose del enorme potencial que tienen las redes sociales. Son muchos los estudios en redes sociales los que afirman que la mayoría de los usuarios siguen a los influencers para tomar decisiones de compra o inspirarse. Con objeto de identificar algunos antecedentes y consecuencias claves del liderazgo de opinión en el contexto de Instagram y comparar el nivel de engagement que alcanzan los influencers con respecto al tipo de publicaciones (generales o patrocinadas), se diseña una metodología de análisis de contenido comparado de indicadores cuantitativos y cualitativos. Por último, los resultados de este artículo indican que las publicaciones patrocinadas de los líderes de opinión provocan un nivel de engagement menor que el alcanzado por las publicaciones generales.

Política de influencia y tendencia fake en Twitter. Efectos postelectorales (21D) en el marco del Procés en Cataluña