{"id":1322,"date":"2022-02-24T05:02:56","date_gmt":"2022-02-24T05:02:56","guid":{"rendered":"https:\/\/ciberbullying.situada.online\/index.php\/home\/"},"modified":"2024-09-14T02:12:28","modified_gmt":"2024-09-14T00:12:28","slug":"inicio","status":"publish","type":"page","link":"https:\/\/ciberbullying.situada.online\/en\/","title":{"rendered":"Home"},"content":{"rendered":"
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Cyberbullying<\/h1><\/div>\n\n\n\n

Linguistic Challenges in the Detection of Digital Violence in Latin America and the Caribbean<\/h2><\/div>\n<\/div><\/div>\n\n\n\n
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Promoting inclusive digital security through artificial intelligence powered detection<\/h2>
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This research addresses cyberbullying detection on Twitter, focusing on Peruvian Spanish, by creating a dataset and comparing four machine-learning models. With a comprehensive approach, it seeks to overcome the lack of studies focused on the linguistic particularities of Latin America and the Caribbean. Its objective is to provide results that contribute to developing more effective strategies to combat cyberbullying in the region.<\/h2><\/div>\n\n\n\n
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A Comparison of Classification Models to Detect Cyberbullying in the Peruvian Spanish Language on Twitter<\/strong><\/h1><\/div>

This study compares four machine-learning models for cyberbullying detection on Twitter, specifically focusing on Peruvian Spanish. It uses a specially designed dataset for training these models and presents detailed results on each model's performance and ability to identify cyberbullying.



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Manual: Creation and Validation of a Dataset for the Detection Cyberbullying <\/strong>in the Peruvian Spanish Language<\/strong><\/h3><\/div>

This manual addresses the linguistic challenges associated with creating data to address social problems in the digital environment of the region, particularly in Peruvian Spanish. It describes in detail the process of creating and validating a specific dataset for this task, facing the complexities of the regional language. In addition, it provides a thorough explanation of data pre-processing using natural language processing techniques to improve detection efficiency.

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Cyberbullying detection as a protective measure strengthens safety and fairness in existing ALAC online communities<\/div>
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About the Project<\/span>

Overcoming Linguistic Barriers in the Detection of Cyberbullying at LAC<\/strong><\/h4><\/div>

This project explores the complexities of cyberbullying in the context of Peru, highlighting its social and cultural impacts. It examines how regional linguistic dynamics influence cyberbullying detection on platforms such as Twitter and proposes strategies to address this problem. By analyzing online interactions, it seeks to promote awareness and prevention, fostering safer and more equitable digital environments.<\/p>

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situada.online<\/h1><\/div>

From a critical perspective, we explore and question the power dynamics in technology in Latin America and the Caribbean, seeking to transform them towards a more socially just world.<\/p>

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Ciberbullying Desaf\u00edos Ling\u00fc\u00edsticos en la Detecci\u00f3n de Violencia Digital en Am\u00e9rica Latina y el Caribe Promoviendo la seguridad digital a trav\u00e9s de la detecci\u00f3n con inteligencia artificial Esta investigaci\u00f3n aborda la detecci\u00f3n de ciberbullying en Twitter, enfocado en el espa\u00f1ol peruano, mediante la creaci\u00f3n de un dataset y la comparaci\u00f3n de cuatro modelos de machine […]<\/p>","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"full-width-container","site-content-style":"unboxed","site-sidebar-style":"unboxed","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"enabled","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"trp-custom-language-flag":false},"uagb_author_info":{"display_name":"ximenamar04","author_link":"https:\/\/ciberbullying.situada.online\/en\/author\/ximenamar04\/"},"uagb_comment_info":0,"uagb_excerpt":"Ciberbullying Desaf\u00edos Ling\u00fc\u00edsticos en la Detecci\u00f3n de Violencia Digital en Am\u00e9rica Latina y el Caribe Promoviendo la seguridad digital a trav\u00e9s de la detecci\u00f3n con inteligencia artificial Esta investigaci\u00f3n aborda la detecci\u00f3n de ciberbullying en Twitter, enfocado en el espa\u00f1ol peruano, mediante la creaci\u00f3n de un dataset y la comparaci\u00f3n de cuatro modelos de machine…","_links":{"self":[{"href":"https:\/\/ciberbullying.situada.online\/en\/wp-json\/wp\/v2\/pages\/1322"}],"collection":[{"href":"https:\/\/ciberbullying.situada.online\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ciberbullying.situada.online\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ciberbullying.situada.online\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ciberbullying.situada.online\/en\/wp-json\/wp\/v2\/comments?post=1322"}],"version-history":[{"count":82,"href":"https:\/\/ciberbullying.situada.online\/en\/wp-json\/wp\/v2\/pages\/1322\/revisions"}],"predecessor-version":[{"id":2058,"href":"https:\/\/ciberbullying.situada.online\/en\/wp-json\/wp\/v2\/pages\/1322\/revisions\/2058"}],"wp:attachment":[{"href":"https:\/\/ciberbullying.situada.online\/en\/wp-json\/wp\/v2\/media?parent=1322"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}