Using Social Network Analysis in Understanding The Public Discourse on Gender Violence: an Agent-Based Modelling Approach

There are many representations attributed to gender-based violence. Public discourse provides useful datasets that can be studied in order to study such representations. Social network modelling is a way to study that public discourse, by looking at how opinions in a discourse interact and repeat th...

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Main Authors: Estuar, Ma. Regina Justina E, De La Paz, Meliza M
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Published: Archīum Ateneo 2017
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Online Access:https://archium.ateneo.edu/discs-faculty-pubs/25
https://dl.acm.org/doi/10.1145/3110025.3120960
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Institution: Ateneo De Manila University
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spelling ph-ateneo-arc.discs-faculty-pubs-10242020-02-22T02:44:33Z Using Social Network Analysis in Understanding The Public Discourse on Gender Violence: an Agent-Based Modelling Approach Estuar, Ma. Regina Justina E De La Paz, Meliza M There are many representations attributed to gender-based violence. Public discourse provides useful datasets that can be studied in order to study such representations. Social network modelling is a way to study that public discourse, by looking at how opinions in a discourse interact and repeat themselves on a large scale and over time. This study aims to construct a social network model using an agent-based approach to measure whether the conversation space of certain gender violence discourses are more centered on victims, perpetrators, institutions, or society. It will use network measures of centrality, immediate impact analysis, and centrality changes over time to compare the context of two cultures: Philippines and the United States. The data set from the Philippines consists of articles on the Vizconde Massacre and the data set from the United States consists of articles on the Stanford Rape Case. Results show that both datasets feature an institution-centric discourse that is consistent over time, and that society has the lowest role-centrality in both events. Perpetrators appear more central than victims, but comparatively more so in the Stanford Rape dataset compared to the Vizconde Massacre one. 2017-07-01T07:00:00Z text https://archium.ateneo.edu/discs-faculty-pubs/25 https://dl.acm.org/doi/10.1145/3110025.3120960 Department of Information Systems & Computer Science Faculty Publications Archīum Ateneo Computer Sciences Databases and Information Systems Gender, Race, Sexuality, and Ethnicity in Communication Social Media
institution Ateneo De Manila University
building Ateneo De Manila University Library
country Philippines
collection archium.Ateneo Institutional Repository
topic Computer Sciences
Databases and Information Systems
Gender, Race, Sexuality, and Ethnicity in Communication
Social Media
spellingShingle Computer Sciences
Databases and Information Systems
Gender, Race, Sexuality, and Ethnicity in Communication
Social Media
Estuar, Ma. Regina Justina E
De La Paz, Meliza M
Using Social Network Analysis in Understanding The Public Discourse on Gender Violence: an Agent-Based Modelling Approach
description There are many representations attributed to gender-based violence. Public discourse provides useful datasets that can be studied in order to study such representations. Social network modelling is a way to study that public discourse, by looking at how opinions in a discourse interact and repeat themselves on a large scale and over time. This study aims to construct a social network model using an agent-based approach to measure whether the conversation space of certain gender violence discourses are more centered on victims, perpetrators, institutions, or society. It will use network measures of centrality, immediate impact analysis, and centrality changes over time to compare the context of two cultures: Philippines and the United States. The data set from the Philippines consists of articles on the Vizconde Massacre and the data set from the United States consists of articles on the Stanford Rape Case. Results show that both datasets feature an institution-centric discourse that is consistent over time, and that society has the lowest role-centrality in both events. Perpetrators appear more central than victims, but comparatively more so in the Stanford Rape dataset compared to the Vizconde Massacre one.
format text
author Estuar, Ma. Regina Justina E
De La Paz, Meliza M
author_facet Estuar, Ma. Regina Justina E
De La Paz, Meliza M
author_sort Estuar, Ma. Regina Justina E
title Using Social Network Analysis in Understanding The Public Discourse on Gender Violence: an Agent-Based Modelling Approach
title_short Using Social Network Analysis in Understanding The Public Discourse on Gender Violence: an Agent-Based Modelling Approach
title_full Using Social Network Analysis in Understanding The Public Discourse on Gender Violence: an Agent-Based Modelling Approach
title_fullStr Using Social Network Analysis in Understanding The Public Discourse on Gender Violence: an Agent-Based Modelling Approach
title_full_unstemmed Using Social Network Analysis in Understanding The Public Discourse on Gender Violence: an Agent-Based Modelling Approach
title_sort using social network analysis in understanding the public discourse on gender violence: an agent-based modelling approach
publisher Archīum Ateneo
publishDate 2017
url https://archium.ateneo.edu/discs-faculty-pubs/25
https://dl.acm.org/doi/10.1145/3110025.3120960
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