Artículo

How do we study misogyny in the digital age? A systematic literature review using a computational linguistic approach

Resumen

Nowadays, despite centuries of striving for equality, women still face higher levels of discrimination compared to men in nearly every aspect of life. Recently, this systemic inequality has manifested in cyberspace through the proliferation of abusive content that is even more aggressive than what one would expect in the 21st century. Various research disciplines are now attempting to characterise this new manifestation of misogyny. The endeavour to comprehend this phenomenon has resulted in a significant increase in publications from several fields, including Social Sciences, Arts and Humanities, Psychology, and Computer Science. This paper presents a systematic review of multidisciplinary research on misogyny from the years 1990 to 2022, encompassing a total of 2830 articles retrieved from the Scopus database as of December 31, 2022. The literature is thoroughly analysed using three approaches: bibliometric analysis, topic detection, and qualitative analysis of the documents. The findings suggest that the analysis of online misogyny has been the primary driver behind the exponential growth in publications in this field. Additionally, the results of the topic analysis and topic interaction reveal a limited connection between the areas of knowledge that are necessary to fully grasp this complex phenomenon.
Fontanella, Lara (6701831150); Chulvi, Berta (17433259000); Ignazzi, Elisa (58967732300); Sarra, Annalina (57190430539); Tontodimamma, Alice (57210220725)
How do we study misogyny in the digital age? A systematic literature review using a computational linguistic approach
2024
10.1057/s41599-024-02978-7
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189361895&doi=10.1057%2fs41599-024-02978-7&partnerID=40&md5=7db62ff3059bc1ad6cc91a8b20cd4403
Department of Legal and Social Sciences, G. d’Annunzio University of Chieti-Pescara, Chieti-Pescara, Italy; PRHLT, Universitat Politècnica de València, Valencia, Spain; Social Psychology Department, Universitat de València, Valencia, Spain; Department of Neuroscience, Imaging and Clinical Sciences, G. d’Annunzio University of Chieti-Pescara, Chieti-Pescara, Italy; Department of Philosophical, Pedagogical and Economic-Quantitative Sciences, G. d’Annunzio University of Chieti-Pescara, Chieti-Pescara, Italy
All Open Access; Gold Open Access
Scopus
Artículo obtenido de:
Scopus
Fuente
0 0 votos
Califica el artículo
Subscribirse
Notificación de
Campus Samborondón
Vía Samborondón Km. 13.5
Call Center: 5150400
metricas@ecotec.edu.ec
Facebook Instagram Youtube

Mapa del sitio