Deep Learning Implementation for Pattern and Incidences Identification of Gender Violence in Mexican Contexts

Deep Learning Implementation for Pattern and Incidences Identification of Gender Violence in Mexican Contexts

Juan Carlos Garduño, David Valle-Cruz, Rafael Valentin Mendoza-Mendez, Ernesto Joel Dorantes-Coronado
DOI: 10.4018/978-1-6684-5624-8.ch015
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Abstract

This research has as its central theme gender violence in the Mexican context. It is based on the application of two data collection instruments whose objective is, in the first instance, to identify factors and essential elements that characterize cases of gender violence in higher education institutions and as a second point to obtain information from students who are victims of gender violence. The implementation of deep learning techniques is a key point in the research because thanks to it, it has been possible to identify the percentage in which emotions are presented in the texts collected with the second data collection instrument. Among the data obtained, it stands out that the female gender is the most violent, but at the same time, it is considered the most violent, a fact that gives the opportunity to continue with this research in future works, or the fact that 91.9% of the women surveyed have suffered at least one case of violence in their lives. In addition to this, it was found that anger is the most influential emotion in the texts collected with a presence of 56.3%.
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Background

Gender violence in the world is an underlying problem that has had several consequences in different countries from a bilateral perspective. The first is related to the havoc caused in society that is reflected in the poor position of countries in international rankings in terms of quality of life, mainly for women. The second is related to the initiatives taken by governments to eradicate it.

Mexico has seen an increasing number of victims of gender-based violence because of its social, economic, and political background. In addition, the recent outbreak of the new coronavirus disease (COVID-19) has exposed significant inequality in the social, economic and medical environment that is adversely affecting Gender-based violence (GBV) problem (Castorena et al., 2021).

According to various studies conducted in 2019, Mexico was positioned within the last places (out of a total of 80) within the ranking called “Best countries to be a woman”(Forbes Mexico, 2019). In 2021, the magazine US News & World Report (2021) published the same ranking in which 78 countries were considered within which, the nation was positioned in 48th place.

In Mexico, the majority of women who suffer violence relapse into acts of violence, however, one in five women who are victims of violence seek legal help to resolve their situation. Domestic violence is one of the most common causes of harm to women, in addition to harm from robbery, accidents and rape (Arce, 2006) while other interesting data show that two out of three women were beaten due to abuse.

In the context of interpersonal relationships, rape by an intimate partner is as violent as it is degrading and often as traumatic as rape by a stranger. Several studies have shown that there is no single factor that triggers an episode of violence, but rather several factors that trigger abusive behavior (Arce, 2006).

The Georgetown Institute for Women's Peace and Security is an organization that conducts research and produces reports that address patterns of women's happiness and empowerment in the same country by reflecting the policies and institutions of other countries that guarantee equal rights and opportunities for women and those that do not.

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