Algorithms, applications and Big Data, new paradigms in the process of communication and teaching-learning of data journalism

Authors

Keywords:

journalism, data, investigative, apps, algorithms

Abstract

Disruptive technologies and their impact on journalism and communication force us to assume challenges in learning new techniques for data and information processing. Interdisciplinary knowledge is evident in the teaching of new professional profiles. Data journalism is an example of this, so the immersion into a data culture must be preceded by awareness in the learning of news applications, algorithms or the treatment of Big Data, elements that configure new paradigms among journalists of the media on the Internet. With the revision of texts, direct observation of selected applications and case study, some conclusions are established that contain a growing demand in the knowledge of new techniques. The results show the use of technological resources and the proposal of changes in the curricula of the communication faculties.

Author Biography

  • Jesús Miguel Flores Vivar, Universidad Complutense de Madrid

    Doctor en Ciencias de la Información por la Universidad Complutense de Madrid, Master en Información y Documentación por la Universidad Carlos III de Madrid y Profesor Titular de Multimedia y Ciberperiodismo en la Facultad de Ciencias de la Información de la Universidad Complutense de Madrid

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Published

2018-09-20

Issue

Section

Working papers

How to Cite

Flores Vivar, J. M. (2018). Algorithms, applications and Big Data, new paradigms in the process of communication and teaching-learning of data journalism. Revista De Comunicación, 17(2), 268-291. https://revistadecomunicacion.com/article/view/964

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