Resumen: El objetivo de la presente investigación es explorar la estructura y el contenido de una red de usuarios de abuso sexual basado en imágenes en Twitter. Para ello se analizaron los perfiles de Twitter que contienen la palabra "Quemón o “Nudes” utilizando análisis de redes, técnicas de procesamiento natural del lenguaje. Entre 2017 y 2018 hubo una comunidad de abuso sexual basado en imágenes en Twitter. Al menos 329 usuarios se dedicaron y se auto describieron como cuentas sexualmente explícitas, vengativas, y en donde contenido sexual no consensual podía ser compartido de forma anónima. Ya con seguidores, la red comprende a más de 130,000 personas. Esta es una estimación conservadora, más cuentas podrían utilizar diferentes palabras clave, no tener ninguna descripción, o formar parte de comunidades privadas. Estos resultados sugieren que los consumidores de contenido de abuso sexual basado en imágenes son los principales responsables de su propagación.

Abstract: This study aimed to explore the structure and content of an image-based sexual abuse user network on Twitter. For this purpose, Twitter profiles containing the word “Quemones” or "Nudes" were analyzed using network analysis, natural language processing techniques. Between 2017 and 2018 there was a community of image-based sexual abuse on Twitter. At least 329 users engaged in and self- described themselves as sexually explicit, vindictive accounts, and where nonconsensual sexual content could be shared anonymously. Already with followers, the network comprises more than 130,000 people. This is a conservative estimate; more accounts could use different keywords, have no description, or be part of private communities. These results suggest that consumers of image-based sexual abuse content are primarily responsible for its spread.

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