English - Español
Founded in 2003 / ISSN: 1696-019X / e-ISSN: 2386-3978 / Depósito Legal: M-5852-2003
DOI: 10.31921/doxacom
Pre-print #31, July-December 2020

Authors

Alba Córdoba-Cabús Universidad de Málaga, España
albacordoba@uma.es
Manuel García-Borrego Universidad de Málaga, España
manoletus@uma.es
Title Visualisations as a critical information source for data journalism. Analysis of the typology, interactivity, and functions in the 2019 Data Journalism Awards Summary This research provides a current snapshot of visualisations in the best data journalism stories, those nominated for the 2019 Data Journalism Awards by analysing typologies, the interactivity, and functions they serve. A content analysis (n=42) is carried out to identify the characteristics, differences, and similarities between the nominees and winners and establish a classification of the interactive elements according to their purpose. The analysis shows that infographics are the most widely used form of representation (45,24%). Two groups of interactive features are detected; those that focus on engaging and holding the reader’s attention and those that satisfy their information needs. The lack of interactivity, limiting users’ responsibility, would explain the first group’s widespread use in this paper. Among other findings, we conclude that the differences between the nominees and winners are in the visualisation function and all the aspects related to its interactivity. Keywords Data journalism; data visualization; interactivity; infographic; Data Journalism Awards.

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