Data Journalism: From Social Science Techniques to Data Science Skills

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Adolfo Antón Bravo
Universidad Politécnica de Madrid
https://orcid.org/0000-0003-2437-9863
Ana Serrano Tellería
Universidad de Castilla La Mancha
https://orcid.org/0000-0003-1625-4411

In very few years in journalism, we have gone from looking at social science techniques, what was called precision journalism, to dealing with open data as a huge source of information that lead us to data journalism what connects with data science in the sense of using -again- scientific methods to extract knowledge and insights from structured data. This article offers an overview of that evolution and focuses on some prototypes that have emerged in this new journalistic ecosystem of data journalism, data visualization and data literacy.

Keywords
Data Journalism, Data Visualization, Open Data, Data science, Precision journalism

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Antón Bravo, Adolfo; Serrano Tellería, Ana. “Data Journalism: From Social Science Techniques to Data Science Skills”. Hipertext.net, 2020, no. 20, pp. 41-54, doi:10.31009/hipertext.net.2020.i20.04.
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Author Biographies

Adolfo Antón Bravo, Universidad Politécnica de Madrid

Universidad Politécnica de Madrid (UPM), holds a PhD in Information Sciences Studies and a Master’s Degree in Pedagogical Aptitude at the Universidad Complutense de Madrid (UCM). He is currently a researcher in Ontology Engineering at the Ontology Engineering Group which belongs to the Department of Artificial Intelligence and coordinator of the Master’s Degree in Journalism and Data Visualisation at the Universidad de Alcalá de Henares (UAH). He was in charge of the Datalab at Medialab-Prado its three years of life and before he worked as organizer, coordinator and/or curator of data-related activities since 2013 including Data Journalism and Open Data Spanish Conference, Data Journalism Production Workshop and Data Visualisation Workshop Visualizar at Medialab-Prado (Madrid City Council cultural centre of the arts). He has also been a master’s professor at Universidad Carlos III-Agencia EFE ‘s Master in Agency Journalism (2018-2019); master’s professor at Centro Universitario Villanueva’s Master in Data Journalism at the (attached to the UCM); master’s professor at Universidad Internacional de La Rioja’s Master in Investigative Journalism, Data and Visualization (2015-2016); master’s professor at Universitat Oberta de Catalunya’s Master of Free Software (2010-2013) and data journalism advisor for the International Open Data Conference 2016 (Red.es, Ministry of Economy and Business of Spain). https://infotics.es; https://github.com/flowsta

Ana Serrano Tellería, Universidad de Castilla La Mancha

Faculty of Communication. University of Castilla La Mancha. Associated Professor (ANECA), belongs as a postdoctoral researcher to the following centers: ASCA & Media Studies Department, Faculty Of Humanities, University of Amsterdam; OsloMet Digital Journalism, Oslo Metropolitan University; DIGIDOC, Pompeu Fabra University; LabCom.IFP, University of Beira Interior, Portugal; MESO, San Andrés University, Argentina, and Northwestern University, USA; Innovation in Digital Media, Carlos III University and Innovamedianet: a network of researchers. Since receiving the “Extraordinary Ph.D Award” in 2012 for his thesis (2010) “Initial Node Design on Cybermedia: A Comparative Study”, her academic and professional work has focused on cross / multi / transmedia communication; interface design; media literacy; media ecology; media studies; mobile devices; privacy; performative and visual arts. With more than 90 publications, participation in projects and member of national and international research and innovation laboratories; she has worked as a journalist in the media and communication offices; media consultant; head of research projects; actress, singer and assistant director; artist manager; manager of cultural projects and cooperation as well as event organizer. She has obtained relevant national and interntional scholarships. https://es.linkedin.com/in/ ana-serrano-tellería-3b762322