Article
Details
Citation
Borges Rey E, Heravi B & Uskali T (2018) Periodismo de datos iberoamericano: desarrollo, contestación y cambio social. Presentación. Revista ICONO14 Revista científica de Comunicación y Tecnologías emergentes, 16 (2), pp. 1-13. https://icono14.net/ojs/index.php/icono14/article/view/1221; https://doi.org/10.7195/ri14.v16i2.1221
Abstract
As the emphasis of data journalism research shifts to the Global South one region that remains relatively under researched is Ibero-America. Arguably, a space that has pioneered data journalism practices and with enormous potential for social change and development through open data, Ibero-America has excelled in many areas related to the field: La Nación in Argentina has to date one of the most inno- vative data journalism units globally. Also, La Nación, together with the Spanish newspaper El País, were, together with the Guardian, the New York Times and the Spiegel, the first news organisation that extracted and published information from WikiLeaks’ War Logs. Finally, Spain is one of the most open societies in Europe, and a global example for open data. Yet, an absence of Ibero-American data journalism studies from mainstream scholarship, creates an opportunity to further explore the developments and evolution of data journalism in this geographic region. In this vein, this special edition of Icono14 aims at repositioning Iberian American data journalism within the broadest discussions on the field, recontextualising its contri- bution into debates on the role of this journalistic practice in the Global South.
Keywords
Periodismo de datos; Automatización; Periodismo sin fines de lucro; Iberoamérica; Narrativas inmersivas; Periodismo comunitario; Cambio social
Journal
Revista ICONO14 Revista científica de Comunicación y Tecnologías emergentes: Volume 16, Issue 2
Status | Published |
---|---|
Publication date | 01/07/2018 |
Publication date online | 01/07/2018 |
Date accepted by journal | 01/07/2018 |
URL | |
Publisher | Asociacion Cientifica ICONO14 |
Publisher URL | |
ISSN | 1697-8293 |