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Data Journalism at Its Finest: A Longitudinal Analysis of the Characteristics of Award-Nominated Data Journalism Projects

Data Journalism at Its Finest: A Longitudinal Analysis of the Characteristics of Award-Nominated Data Journalism Projects



 

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 statistics but also how the audience does so.

Loosen, Wiebke; Reimer, Julius (2017): Data Journalism at Its Finest: A Longitudinal Analysis of the Characteristics of Award-Nominated Data Journalism Projects. In: A. Nguyen (ed.), News, Numbers and Public Opinion in a Data-Driven World. New York: Bloomsbury.

Publisher information

Data Journalism at Its Finest: A Longitudinal Analysis of the Characteristics of Award-Nominated Data Journalism Projects



 

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 statistics but also how the audience does so.

Loosen, Wiebke; Reimer, Julius (2017): Data Journalism at Its Finest: A Longitudinal Analysis of the Characteristics of Award-Nominated Data Journalism Projects. In: A. Nguyen (ed.), News, Numbers and Public Opinion in a Data-Driven World. New York: Bloomsbury.

Publisher information

About this publication

Authors

Julius Reimer, M. A. • Prof. Dr. Wiebke Loosen

Year of publication

2018

RELATED KEYWORDS

journalism • online journalism • journalists • quality journalism • journalism research • online journalism • data-driven journalism • big data • content analysis • Data Journalism Awards • media content

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