Big data y cronotopos como modelo de negocio en la prensa digital

Yalitza Therly Ramos-Gil, Carmelo Marquez-Dominguez, Nancy Ulloa-Erazo

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

The idea of this research is to explore through the web pages how the concept of big data and chronotopos affect the digital press and journalistic company. The theoretical framework tackles both concepts through information theory, network theory and collects the opinions of some authors in different disciplines. The main perspective leads to a theoretical review of the definitions that can be considered in online journals. The methodology, in which this research is framed, is of an exploratory type. The techniques of observation and extraction of data from different web platforms, served as analysis for the informative correlation of big data as an irreversible tendency in the media scene. The research results indicate how big data and chronotopos point out the possibility of generating business strategies for the digital press.

Título traducido de la contribuciónBig data and chronotopes as business models in the press
Idioma originalEspañol
Título de la publicación alojadaAtas da 12a Conferencia Iberica de Sistemas e Tecnologias de Informacao, CISTI 2017 / Proceedings of the 12th Iberian Conference on Information Systems and Technologies, CISTI 2017
EditoresLuis Paulo Reis, Alvaro Rocha, Braulio Alturas, Carlos Costa, Manuel Perez Cota
EditorialIEEE Computer Society
ISBN (versión digital)9789899843479
DOI
EstadoPublicada - 11 jul. 2017
Publicado de forma externa
Evento12th Iberian Conference on Information Systems and Technologies, CISTI 2017 - Lisbon, Portugal
Duración: 21 jun. 201724 jun. 2017

Serie de la publicación

NombreIberian Conference on Information Systems and Technologies, CISTI
ISSN (versión impresa)2166-0727
ISSN (versión digital)2166-0735

Conferencia

Conferencia12th Iberian Conference on Information Systems and Technologies, CISTI 2017
País/TerritorioPortugal
CiudadLisbon
Período21/06/1724/06/17

Nota bibliográfica

Publisher Copyright:
© 2017 AISTI.

Palabras clave

  • Big data
  • Business model
  • Chronotopes
  • Information
  • Press

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