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

Published: 31 July 2017 Publication History

Abstract

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.

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

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      cover image ACM Conferences
      ASONAM '17: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017
      July 2017
      698 pages
      ISBN:9781450349932
      DOI:10.1145/3110025
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 31 July 2017

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      • (2024)A Cross Community Comparison of Muting in Conversations of Gendered Violence on RedditProceedings of the ACM on Human-Computer Interaction10.1145/36869408:CSCW2(1-29)Online publication date: 8-Nov-2024
      • (2020)Social Media Sentiment Analysis with Context Space ModelElectronic Governance and Open Society: Challenges in Eurasia10.1007/978-3-030-39296-3_29(399-412)Online publication date: 23-Jan-2020

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