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

IF 0.5 Q4 COMMUNICATION

Central European Journal of Communication Pub Date : 2023-10-17 DOI:10.51480/1899-5101.16.1(33).6

Hugo J Bello, Nora Palomar-Ciria, Elisa Gallego, Lourdes Jiménez Navascués, Celia Lozano

引用次数: 0

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.

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用大数据技术研究西班牙新闻媒体中性别暴力的影响

尽管性别暴力是新闻媒体报道不足的话题，但它损害了受害者的健康、尊严、安全和自主权。研究已经研究了产生或维持这种暴力的许多因素。然而，媒体的影响仍然不确定。本文使用大数据技术探索数字新闻媒体如何描述和报道性别暴力。通过向神经网络提供新闻，可以恢复与每篇文章相关的主题信息。我们的研究结果表明，性别暴力新闻与公众意识、知名案件的影响以及性别暴力新闻与正义主题的内在主题关系存在关联。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Central European Journal of Communication COMMUNICATION-

CiteScore

0.90

自引率

0.00%

发文量

期刊介绍： Central European Journal of Communication provides an international forum for empirical, critical and interpretative, quantitative and qualitative research examining the role of communication in Central Europe and beyond. The journal welcomes high quality research and analysis from diverse theoretical and methodological approaches, as well as reviews of publications and publishes notes on a wide range of literature on media and communication studies. Submission of original articles is open to all researchers interested in communication and media.