Data journalism: Concept and categories

Authors

  • Leonardo Mancini ESPM Rio
  • Fabio Vasconcellos ESPM Rio

DOI:

https://doi.org/10.4013/fem.2016.181.07

Abstract

In this article, the authors propose new ways to classify how Data Journalism is being used in Brazilian newspapers. After having observed how data is presented on news pieces in online newspapers from all of the country, this study shows there are many different approaches, ranging from what is considered the typical data journalism pieces, which can be found on Folha de São Paulo, O Globo and Estado de S. Paulo, to what is considered here as “journalism with data”, were the data is not on the center of the story. Methodologically, the research monitored 48 online newspapers during 5 months and analyzed 2.296 news pieces, in which we were able to observe the main skills needed to produce data journalism: investigative competences (data search and treatment), interpretative competences (how to tell the story and show the relations between the data) and communicative competences (data visualizations as a way to facilitate the understanding of the story).

Keywords: Data Journalism, CAR, Data Visualization.

Author Biographies

Leonardo Mancini, ESPM Rio

Jornalista, professor, Mestre em comunicação pela UERJ e em inteligência competitiva pela Sciences-Po, chefe do Departamento de Comunicação Teórica e Prática da ESPM Rio e coordenador da Pós-Graduação em Jornalismo Investigativo.

Fabio Vasconcellos, ESPM Rio

Jornalista e professor da ESPM Rio. Doutor em Ciência Política pelo IUPERJ

Published

2016-03-03