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

 January Febro-Naga, Iligan City (Philippines)

 Mia-Amor Tinam-isan, Iligan City (Philippines)

https://doi.org/10.3916/C70-2022-10

Keywords

Cyberviolence, news, content analysis, text mining, cyber VAWG, topic modeling

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.

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Fundref

Gender and Development Center of MSU-Iligan Institute of Technology, SO No. 02831-IIT Series of 2019

Crossmark

Technical information

Received: 10-03-2021

Revised: 08-04-2021

Accepted: 15-07-2021

OnlineFirst: 15-10-2021

Publication date: 01-01-2022

Article revision time: 28 days | Average time revision issue 70: 35 days

Article acceptance time: 126 days | Average time of acceptance issue 70: 66 days

Preprint editing time: 252 days | Average editing time preprint issue 70: 191 days

Article editing time: 297 days | Average editing time issue 70: 236 days

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