Hate and Incivilities in Hashtags against Women Candidates in Chile (2021–2022)

Author:

Beltrán Jarnishs1ORCID,Walker Paula2ORCID,Jara René2ORCID

Affiliation:

1. School of Informatics Engineering, University of Valparaíso, Valparaiso, IN 46383-6493, USA

2. School of Journalism, University of Santiago de Chile, Ñuñoa, Santiago 7800020, Chile

Abstract

This study is interested in the phenomenon of violence in social networks against women who hold political office in the framework of the Chilean constitutional process (2021–2022). To study this major socio-political phenomenon, we have used the tracking database “Women and Politics”, composed of 2,912,732 Twitter posts mentioning women candidates and collected between July 2021 and September 2022. Based on this data, we analyzed the network of hashtags by electoral list at points in time: all 2021 messages, all 2022 messages and only hate messages published in 2022 (n = 563,223), codified by an automated detection method. The results of the study reveal that hashtags extracted from messages containing hate speech are better understood under the concept of incivilities. These were expressed in a two-phase electoral process: the presidential election and the constitutional plebiscite. The implications and limits of this study are discussed and considered in context in the conclusion.

Funder

United Nations Entity for Gender Equality and the Empowerment of Women

Publisher

MDPI AG

Subject

General Social Sciences

Reference30 articles.

1. quanteda: An R package for the quantitative analysis of textual data;Benoit;Journal of Open Source Software,2018

2. Calderón, Carlos Arcila, Vega, Gonzalo de la, and Herrero, David Blanco (2020). Topic Modeling and Characterization of Hate Speech against Immigrants on Twitter around the Emergence of a Far-Right Party in Spain. Social Sciences, 9.

3. Chakraborti, Neil, Garland, Jon, and Hardy, Stevie-Jade J. (2014). The Leicester Hate Crime Project: Findings and Conclusions, University of Leicester. Available online: https://bit.ly/38lTPzQ.

4. The igraph software package for complex network research;Csardi;InterJournal, Complex Systems,2006

5. Davidson, Thomas, Warmsley, Dana, Macy, Michael, and Weber, Ingmar (, January May). Automated hate speech detection and the problem of offensive language. Paper presented the Eleventh International AAAI Conference on Web and Social Media, Montreal, QC, Canada.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3