The Leibniz Institute for Media Research | Hans Bredow Institute (HBI) examines media change and the related structural shifts in public communication.
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Prof. Dr. Wolfgang Schulz
Dr. Hans-Ulrich Wagner
Prof. Dr. Uwe Hasebrink
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The academic profile of the Leibniz Institute for Media Research | Hans-Bredow-Institut (HBI) is characterised by its research programmes.
The Institute focuses on transferring its work to various target groups and various formats in the broadest way possible.
The Leibniz Institute for Media Research | Hans-Bredow-Institut (HBI) is engaged in numerous international and national research networks in research and practice.
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“Medien & Kommunikationswissenschaft“ offers a forum for the discussion of media and communication-related issues and for analyses of media development from different perspectives and for all media.
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Whether “Swiss Leaks” or the “Panama Papers” – lately, so-called data(-driven) journalism has become a highly relevant form of reporting. This project investigated how this new form of journalism is developing, based on an analysis of journalistic projects that were nom...
With how much enthusiasm our students do research on the topic of data journalism, you can here in the new 27th BredowCast (in German language).
Data journalism is the topic of out project "When ‘Data’ Becomes ‘News’: A Comparative Analysis of Computational Journalism&...
Reimer, J.; Loosen, W.; Schmidt, F. (23.1.2016): Data Journalism’s Finest. A Study of Projects Nominated for the Data Journalism Award. In: Data Driven Journalism. Online available at http://datadrivenjournalism.net/news_and_analysis/data_journalisms_finest.
Loosen, W. (2018): Data-Driven Gold-Standards: What the Field Values as Award-Worthy Data Journalism and How Journalism Co-Evolves with the Datafication of Society. In: J. Gray, L. Bounegru (eds.), The Data Journalism Handbook 2. Towards a Critical Data Practice. European Journalism Centre and Googl...
The collective volume "News, Numbers and Public Opinion in a Data-Driven World" (ed.: An Nguyen), including an article by Wiebke Loosen and Julius Reimer, has been published. The different chapters of the volume do not only look on how journalists (mis-)understand and use numbers and stati...
Loosen, W.; Reimer, J.; De Silva-Schmidt, F. (2017): Data-Driven Reporting – an On-Going (R)Evolution? An Analysis of Projects Nominated for the Data Journalism Awards 2013–2016. In: Journalism (online first), DOI: 10.1177/1464884917735691 (online).
Loosen, W.; Reimer, J.; De Silva-Schmidt, F. (2017): Data-Driven Reporting – an On-Going (R)Evolution? A Longitudinal Analysis of Projects Nominated for the Data Journalism Awards 2013–2015. Hamburg: Hans-Bredow-Institut, Mai 2017 (Arbeitspapiere des Hans-Bredow-Instituts, No. 41) (...
"Wenn aus Daten Journalismus wird – eine wissenschaftliche Auswertung nominierter Datenjournalismus-Projekte [When Data Become News – A Scientific Analysis of Nominated Data Journalism Projects]", talk by J. Reimer at the event "SciCAR – Where Science Meets Computer-...
"Wenn aus Daten Journalismus wird – eine wissenschaftliche Auswertung nominierter Datenjournalismus-Projekte" [When Data become Journalism – A Scientific Evaluation of Nominated Data Journalism Projects], speech by J. Reimer at the event WHERE SCIENCE MEETS COMPUTER...
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