Big Data Techniques to Study the Impact of Gender-Based Violence in the Spanish News Media
Hugo J. Bello
University of Valladolid, Spain
Nora Palomar-Ciria
Complejo Asistencial de Soria, Spain
Elisa Gallego
the Carlos III Health Institute in Madrid, Spain
Lourdes Jiménez Navascués
University of Valladolid, Spain
Celia Lozano
AI Department in Bosonit, Spain
ABSTRACT: Despite being an underreported topic in the news media, gender-based violence (GBV) undermines the health, dignity, security and autonomy of its victims. Research has studied many of the factors that generate or maintain this kind of violence. However, the influence of the media is still uncertain. This paper used Big Data techniques to explore how GBV is depicted and reported in digital news media. By feeding neural networks with news, the topic information associated with each article can be recovered. Our findings show a relationship between GBV news and public awareness, the effect of well-known GBV cases, and the intrinsic thematic relationship of GBV news with justice themes.
Full text: https://journals.ptks.pl/cejc/article/view/416/pdf
DOI: 10.51480/1899-5101.16.1(33).6
KEYWORDS: big data, domestic violence, gender-based violence, media, news
AUTHORS:
- Hugo J. Bello
ORCID: 0000-0002-3687-1938
University of Valladolid, Spain - Nora Palomar-Ciria
ORCID: 0000-0002-2293-3106
Complejo Asistencial de Soria, Spain - Elisa Gallego
ORCID: 0000-0002-5323-587X
the Carlos III Health Institute in Madrid, Spain - Lourdes Jiménez Navascués
ORCID: 0000-0002-7801-5398
University of Valladolid, Spain - Celia Lozano
ORCID: 0000-0001-5830-1154
AI Department in Bosonit, Spain