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© 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

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.

Details

Title
“Why Can’t We?” Disinformation and Right to Self-Determination. The Catalan Conflict on Twitter
Author
Llorca-Asensi, Elena 1   VIAFID ORCID Logo  ; Alexander Sánchez Díaz 2 ; Fabregat-Cabrera, Maria-Elena 1   VIAFID ORCID Logo  ; Ruiz-Callado, Raúl 1   VIAFID ORCID Logo 

 Department of Sociology 1, University of Alicante, 03690 Alicante, Spain; [email protected] (M.-E.F.-C.); [email protected] (R.R.-C.) 
 Department of Computing Languages and Systems, University of Alicante, 03690 Alicante, Spain; [email protected] 
First page
383
Publication year
2021
Publication date
2021
Publisher
MDPI AG
e-ISSN
20760760
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2661973365
Copyright
© 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.