Data-Driven Reporting - an On-Going (R)Evolution? A Longitudinal Analysis of Projects Nominated for the Data Journalism Awards 2013-2015
| Autor: | Loosen, Wiebke, Reimer, Julius, Silva-Schmidt, Fenja de |
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| Přispěvatelé: | Leibniz-Institut für Medienforschung | Hans-Bredow-Institut (HBI) |
| Rok vydání: | 2017 |
| Předmět: |
Publizistische Medien
Journalismus Verlagswesen News media journalism publishing Datenjournalismus datengesteuerter Journalismus Berichtsstil Präsentationsform data journalism data‐driven journalism Data Journalism Awards reporting style presentation form Kommunikatorforschung Journalismus Communicator Research Journalism Daten Journalismus Inhaltsanalyse Berichterstattung Visualisierung data journalism content analysis reporting visualization |
| Zdroj: | 41, Arbeitspapiere des Hans-Bredow-Instituts, 26 |
| Druh dokumentu: | Arbeitspapier<br />working paper |
| ISSN: | 1435-9413 |
| DOI: | 10.21241/ssoar.71776 |
| Popis: | The emergence of data-driven journalism (DDJ) can be understood as journalism’s response to the datafication of society. We retrace the development of this emerging reporting style by looking at what may be considered the gold‐standard in data‐driven reporting: projects that were nominated for the Data Journalism Awards (DJA), a prize issued annually by the Global Editors Network. Using a content analysis of the nominees from 2013 to 2015 (n=179) we examine if and how, among other aspects, data sources and types, visualisation strategies, interactive features, topics, and types of nominated media outlets have changed over the years. Results suggest, for instance, that the set of structural elements data‐driven pieces are built upon remains rather stable, that data journalism is increasingly personnel intensive and progressively spreading around the globe, and that journalists, while still concentrating on data from official institutions, are increasingly looking to unofficial datasources for their stories. |
| Databáze: | SSOAR – Social Science Open Access Repository |
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