Document Type

Conference Proceeding

Publication Date

2017

Abstract

A huge factor in gender-based violence is perception and stigma, revealed by public discourse. Topic modelling is useful for discourse analysis and reveals prevalent topics and actors. This study aims to find and compare examples of collectivist and individualist conversation spaces of gendered violence by applying Principal Component Analysis, NGram analysis and word association in two gender violence cases which occured in the different contexts of the Philippines and the United States. The data from the Philippines consist of 2010-2011 articles on the 1991 Vizconde Massacre and the data from the United States consist of 2016-2017 articles from the 2015 Stanford Rape Case. Results show that in both cases’ conversation space there is a focus on institutions involved in the cases that does not really change over time, and a time-dependent conversation space for victims. Even in two different contexts of gender violence, patterns in conversation space appear similar

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