Propagation of Hate Speech on Social Network X

Trends and Approaches

Datos Bibliográficos

ID13054594
AutoresEva Matarín (0000-0002-1701-3911, Universidad Rey Juan Carlos, autor de correspondencia), Tomás Gómez Franco (0000-0001-6603-7824, Universidad Francisco de Vitoria), Daniel Rodríguez-Peral Bustos (Universidad Complutense de Madrid)
Año2025
Volumen13
Fecha de publicación2025-01-23
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSocial Inclusion (JOURNAL)
Identificadores de la revistaISSN: 2183-2803 • E-ISSN: 2183-2803
EditorialCogitatio (PUBLISHER • PT)
DOI10.17645/si.9317
OpenAlexW4406761975
IdiomaEN
Citas recibidas3
Referencias citadas37

Digital technologies have democratized the transmission of information, enabling individuals to interact and share information instantly through social networks. However, these advancements have also brought about negative aspects such as the propagation of hate speech on social media. This research aims to address the following question: What are the predominant theoretical and methodological approaches in academic research on hate speech on X (formerly known as Twitter)? This study aims to identify and analyze the trends in existing academic research on the proliferation and dissemination of hate speech on the social network X, to provide a comprehensive overview of the current state of knowledge in this field, and to highlight areas for future research. To conduct this analysis, a mixed‐methods methodology is employed and a systematic literature review is applied as the research technique. Quantitative analysis involves descriptive statistical analysis, while qualitative analysis is conducted using a deductive strategy to study the predetermined categories of research included in this study. Among the main contributions is the integration of findings from multiple studies, facilitating the understanding of this phenomenon, as well as enabling the identification of best practices and existing knowledge gaps in this field

Sociology · Freedom of Expression and Defamation · Hate Speech and Cyberbullying Detection · Social Media and Politics