Publicado:
2023-05-20Edição:
v. 20 n. 1 (2023)Seção:
Entorno SocialUso de Tecnologías de Big Data para Monitorizar y Predecir Tendencias Sociales
Using Big Data Technologies to Monitor and Predict Social Trends
Palavras-chave:
Big Data, análisis social, Machine Learning, privacidad de datos, redes sociales (es).Palavras-chave:
Big Data, social analytics, Machine Learning, data privacy, social networks (en).Downloads
Resumo (es)
El auge de las tecnologías de Big Data ha transformado el análisis de las tendencias sociales, permitiendo una monitorización y predicción más precisas de los comportamientos y opiniones de las personas. Este artículo explora cómo el uso de herramientas avanzadas para el procesamiento y análisis de grandes volúmenes de datos está cambiando la forma en que entendemos las dinámicas sociales. Se abordan las características fundamentales de Big Data, como el volumen, la velocidad, la variedad y la veracidad, y cómo estas se aplican en el análisis de redes sociales, la predicción de comportamientos y el estudio de dinámicas sociales. Se presentan casos de estudio que ilustran el impacto de Big Data en eventos políticos y crisis sanitarias, destacando tanto las oportunidades como los desafíos asociados con la privacidad y la calidad de los datos. Finalmente, se discuten las consideraciones éticas y la importancia de garantizar la integridad y transparencia en el uso de estas tecnologías. Este artículo proporciona una visión integral de cómo Big Data está redefiniendo la investigación social y ofreciendo nuevas perspectivas para la toma de decisiones informadas.
Resumo (en)
The rise of Big Data technologies has transformed the analysis of social trends, enabling more accurate monitoring and prediction of people's behaviors and opinions. This article explores how the use of advanced tools for processing and analyzing large volumes of data is changing the way we understand social dynamics. It addresses the fundamental characteristics of Big Data, such as volume, velocity, variety, and veracity, and how these are applied in social network analysis, behavior prediction, and the study of social dynamics. Case studies illustrating the impact of Big Data on political events and health crises are presented, highlighting both the opportunities and challenges associated with privacy and data quality. Finally, ethical considerations and the importance of ensuring integrity and transparency in the use of these technologies are discussed. This article provides a comprehensive overview of how Big Data is redefining social research and offering new perspectives for informed decision making.
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