Privacidad y Red Social Online

Un modelo para el análisis de la recopilación de datos personales

Autores/as

DOI:

https://doi.org/10.36311/1981-1640.2023.v17.e023005

Palabras clave:

Modelos de datos, Modelos de bases de datos, Privacidad, Redes sociales

Resumen

La popularización de las Tecnologías de la Información y la Comunicación permitió nuevas formas de interacción, incluidos los servicios de Redes Sociales en Línea (RSO). Estos servicios pueden compartir datos personales con organizaciones de terceros a través de interfaces de programación de aplicaciones (API), lo que hace que sea una tarea compleja observar el flujo de datos. Esta investigación propone un modelo para identificar niveles y elementos disponibles en el flujo de datos personales vía API entre organizaciones que poseen servicios de RSO y agentes externos. Convergieron los mecanismos recurrentes en la prestación de conjuntos de datos de servicios de RSO a agentes externos, a partir de una lectura sistemática de la documentación técnica para establecer un modelo de base de datos para buscar en conjunto la posibilidad de almacenar información sobre los niveles en los que las APIs proporcionaron datos personales a agentes externos, aplicando el Modelo Entidad-Relación. Posteriormente, presenta un Data Mart como prueba de concepto para el modelo de base de datos propuesto, con la intención de comparar las formas de acceder a los atributos de los datos personales almacenados y luego compartidos por los servicios de RSO a agentes externos. Demostró que el modelo puede aclarar los elementos inherentes al flujo de datos, lo que permite un análisis más estructurado, incluida la posibilidad de monitorear los cambios en la API por parte de las organizaciones a lo largo del tiempo.

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Biografía del autor/a

  • Fernando de Assis Rodrigues, Universidade Federal do Pará

    Director de la Facultad de Archivística de la Universidad Federal de Pará (períodos 2020-2022 y 2023-2024). Profesor adjunto del Instituto de Ciencias Sociales Aplicadas, adscrito a la Facultad de Archivística y al Programa de Posgrado en Ciencias de la Información de la Universidad Federal de Pará. Pasantía Postdoctoral, Doctor y Magíster en Ciencias de la Información en la UNESP. Especialista en Sistemas de Internet por la UNIVEM. Licenciado en Sistemas de Información por la UNISAGRADO. Miembro de los grupos de investigación GPNTI - Nuevas Tecnologías de la Información y GPTAD - Tecnologías de Acceso a Datos (UNESP) y GECCIT - Grupo de Investigación - Grupo de Estudios Críticos en Ciencias y Tecnologías de la Información (UFPA). Editor de RECoDAF - Revista Electrónica Competencias Digitales para la Agricultura Familiar. Se desempeña en las áreas de Ciencias de la Información y Ciencias de la Computación, con énfasis en Recopilación de Datos y Tecnologías de la Información y la Comunicación, principalmente enfocado en Servicios de Redes Sociales en Línea y Privacidad.

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Publicado

2023-01-19

Cómo citar

“Privacidad Y Red Social Online: Un Modelo Para El análisis De La recopilación De Datos Personales”. Brazilian Journal of Information Science: Research Trends, vol. 17, Jan. 2023, p. e023005, https://doi.org/10.36311/1981-1640.2023.v17.e023005.