Consecuencias de la exención doméstica en redes sociales. RGPD, artículo 2.2.c) en relación con el Considerando 18
Autor:
Caballero-Caballero, Nabil
Fecha:
18/07/2025Palabra clave:
Tipo de Ítem:
masterThesis
Resumen:
En este trabajo se realiza un estudio de la exención doméstica en el contexto de las redes sociales conforme a lo establecido en el Reglamento (UE) 2016/679 del Parlamento Europeo y del Consejo, de 27 de abril de 2016, relativo a la protección de las personas físicas en lo que respecta al tratamiento de datos personales y a la libre circulación de estos datos, abordando las implicaciones y dificultades que plantea su aplicación práctica. Con este fin, se analizan diversas resoluciones y sentencias atendiendo a los criterios interpretativos empleados por los organismos competentes en la resolución de controversias e identificando los puntos críticos que se derivan de una concepción obsoleta de estos espacios digitales. Para contextualizar este estudio, se analiza la realidad actual de las redes sociales, con especial atención en su evolución, diversidad y el funcionamiento normal derivado de la actividad desarrollada por los usuarios.
Descripción:
This thesis presents a study of the household exemption in the context of social media, in accordance with the provisions of Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data. Adressing the implications and challenges from its practical application. To this end, many decisions and court rulings are examined, taking into account the interpretative criteria used by the authorities when resolving legal conflicts, and identifying the key issues that stem from an outdated conception of these digital spaces. To contextualize the analysis, this thesis explores the current reality of social media, focusing on its evolution, diversity, and the normal functioning driven by the users activity.
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(es)
Estadísticas de uso
| Año |
| 2012 |
| 2013 |
| 2014 |
| 2015 |
| 2016 |
| 2017 |
| 2018 |
| 2019 |
| 2020 |
| 2021 |
| 2022 |
| 2023 |
| 2024 |
| 2025 |
| 2026 |
| Vistas |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 37 |
| Descargas |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 0 |
| 13 |
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
Smart Algorithms to Control a Variable Speed Wind Turbine
Farhane, Nabil; Boumhidi, Ismail; Boumhidi, Jaouad (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)In this paper, a robust adaptive fuzzy neural network sliding mode (AFNNSM) control design is proposed to maximize the captured energy for a variable speed wind turbine and to minimize the efforts of the drive shaft. Fuzzy ... -
Deep Belief Network and Auto-Encoder for Face Classification
Bouchra, Nassih; Mohammed, Ngadi; Nabil, Hmina; Aouatif, Amine (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)The Deep Learning models have drawn ever-increasing research interest owing to their intrinsic capability of overcoming the drawback of traditional algorithm. Hence, we have adopted the representative Deep Learning methods ... -
A Feature Selection Approach Based on Archimedes’ Optimization Algorithm for Optimal Data Classification
Khrissi, Lahbib; El Akkad, Nabil; Satori, Hassan; Satori, Khalid (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2024)Feature selection is an active research area in data mining and machine learning, especially with the increase in the amount of numerical data. FS is a search strategy to find the best subset of features among a large ...





