Big Data Techniques to Study the Impact of Gender-Based Violence in the Spanish News Media

被引：1

作者：

Bello, Hugo J. ^{[1
]}

Jimenez Navascues, Lourdes ^{[2
]}

Palomar-Ciria, Nora ^{[3
]}

Lozano, Celia ^{[4
]}

Gallego, Elisa ^{[5
]}

机构：

[1] Univ Valladolid, Soria, Spain

[2] Univ Valladolid, Dept Nursing, Fac Hlth Sci, Campus Soria, Soria, Spain

[3] Complejo Asistencial Univ Soria, Soria, Spain

[4] Bosonit, AI Dept, Logrono, Spain

[5] Carlos III Hlth Inst Madrid, Madrid, Spain

来源：

CENTRAL EUROPEAN JOURNAL OF COMMUNICATION | 2023年 / 16卷 / 01期

关键词：

Big Data; domestic violence; gender-based violence; media; news; DOMESTIC VIOLENCE; NEWSPAPER COVERAGE;

D O I：

10.51480/1899-5101.16.1(33).6

中图分类号：

G2 [信息与知识传播];

学科分类号：

05 ; 0503 ;

摘要：

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.

引用

页码：101 / 116

页数：16

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