Exploring cyber violence against women and girls in the Philippines through Mining Online News

Febro-Naga, January and Tinam-isan, Mia-Amor Exploring cyber violence against women and girls in the Philippines through Mining Online News. Comunicar, 2022, vol. 30, n. 70, pp. 125-138. [Journal article (Paginated)]

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English abstract

Violence against women and girls (VAWG) is not a recent phenomenon. What is new is the additional increasing threats that millions of women and girls face because of the rapid spread of ICTs and the expansion of social media. Cases of VAWG wherein ICT and social media are used as platforms by cybercriminals can be seen in the news media coverage. This study aims to understand and determine the trend and the state of cyber VAWG to raise awareness through mining online news websites. News articles were scraped from popular news websites between 2015 to 2020. The preprocessed articles (N=3,506) were analyzed by year using the Topic Keyword Model (TKM). It was observed that the cyber VAWG articles topic trends are increasing with most of the articles focusing on the topics “Online sexual exploitation and sexual abuse of children” and “ICT-related violations of privacy”. Text mining methods may address the limitations of traditional qualitative approaches. Understanding the cyber VAWG issues by mining news articles is a novel approach that could help create programs and policies to address this societal concern. Additional studies should be conducted related to sentiment analysis of news data to verify and measure the influence of cyber VAWG-related topics.

Spanish abstract

La violencia contra las mujeres y las niñas (VCMN) no es un fenómeno nuevo. Lo nuevo son los crecientes peligros a que se enfrentan los millones de mujeres y niñas debido a la difusión de las TIC y redes sociales. Los casos de la VCMN donde se utilizan como plataformas las TIC y las redes sociales se encuentran fácilmente por medio de la cobertura mediática. Este estudio tiene como objetivo la comprensión y la definición de la tendencia y el estado de la ciber-VCMN para crear conciencia por medio del análisis de los sitios web de noticias online. Entre 2015 y 2020, se recopilaron artículos de los principales sitios de noticias. Se utilizó el Modelo de palabras claves temáticas para evaluar los artículos preprocesados (N=3.506) por año. Se señaló que la mayoría de los artículos sobre ciber-VCMN se centraban en temas de «Explotación sexual y abuso sexual de niños en línea» y «Violaciones de la privacidad relacionadas con las TIC». El análisis de los textos ayuda a trascender las limitaciones de las metodologías cualitativas tradicionales. Comprender las preocupaciones de la ciber-VCMN mediante la extracción de artículos de noticias podría ayudar a crear iniciativas y políticas para solucionar este problema. Proponemos que se lleve a cabo una investigación utilizando análisis de sentimiento de los datos de noticias para verificar y cuantificar el impacto de los problemas relacionados con la ciber-VCMN.

Item type: Journal article (Paginated)
Keywords: Cyberviolence; news; content analysis; text mining; cyber VAWG; topic modeling; Ciberviolencia; noticias; análisis de contenido; análisis de textos; ciber-VCMN; modelado de temas
Subjects: B. Information use and sociology of information > BJ. Communication
G. Industry, profession and education.
G. Industry, profession and education. > GH. Education.
Depositing user: Alex Ruiz
Date deposited: 21 Dec 2021 14:52
Last modified: 21 Dec 2021 14:52
URI: http://hdl.handle.net/10760/42735

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