“Why Can’t We?” Disinformation and Right to Self-Determination. The Catalan Conflict on Twitter

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Título: “Why Can’t We?” Disinformation and Right to Self-Determination. The Catalan Conflict on Twitter
Autor/es: Llorca-Asensi, Elena | Sánchez, Alexander | Fabregat-Cabrera, Maria-Elena | Ruiz-Callado, Raúl
Grupo/s de investigación o GITE: Sociología de la Innovación y del Cambio Social (SOC-INNOVA) | Lucentia | Observatorio Sociológico de la Educación (OBSOEDU) | Población, Medio Ambiente y Desarrollo (POMADE)
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Sociología I | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos
Palabras clave: Disinformation | Misinformation | Self-determination | Rights | Law | Polarization | Emotions | Catalonia | Twitter
Área/s de conocimiento: Sociología | Lenguajes y Sistemas Informáticos
Fecha de publicación: 13-oct-2021
Editor: MDPI
Cita bibliográfica: Llorca-Asensi E, Sanchez A, Fabregat-Cabrera M-E, Ruiz-Callado R. “Why Can’t We?” Disinformation and Right to Self-Determination. The Catalan Conflict on Twitter. Social Sciences. 2021; 10(10):383. https://doi.org/10.3390/socsci10100383
Resumen: Disinformation does not always take the form of a fake news item, it also appears in much less evident formats which are subtly filtered into public opinion, thus making its detection more difficult. A method is proposed in this paper to address the study of “widespread” disinformation by combining social science methods with artificial intelligence and text mining. The case study chosen was the expression “right of self-determination” as a generator of disinformation within the context of the Catalan independence process. The main work hypothesis was that the (intentional or unintentional) confusion around the meaning and scope of this right has become widely extended within the population, generating negative emotions which favour social polarisation. The method utilised had three stages: (1) Description of the disinformation elements surrounding the term with the help of experts; (2) Detection of these elements within a corpus of tweets; (3) Identification of the emotions expressed in the corpus. The results show that the disinformation described by experts clearly dominates the conversation about “self-determination” on Twitter and is associated with a highly negative emotional load in which contempt, hatred, and frustration prevail.
Patrocinador/es: This research was financed with the grant of the deputy vice-chancellor’s office Program for Research and Knowledge Transfer, for the promotion of R&D&I, at the University of Alicante, Modality B: Aids for the financing of R&D&I projects which give rise to a doctoral thesis with an “Industrial Doctorate” mention.
URI: http://hdl.handle.net/10045/118681
ISSN: 2076-0760
DOI: 10.3390/socsci10100383
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Revisión científica: si
Versión del editor: https://doi.org/10.3390/socsci10100383
Aparece en las colecciones:INV - LUCENTIA - Artículos de Revistas
INV - OBSOEDU - Artículos de Revistas
INV - POMADE - Artículos de Revistas
INV - SOC-INNOVA - Artículos de Revistas

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