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Data Journalism in 2017: A Summary of Results from the Global Data Journalism Survey

  • Bahareh R. HeraviEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10766)

Abstract

Data journalism is an emerging discipline, which as a practice it is rapidly becoming an integral part of many newsrooms. Despite this growth, there is a lack of systematic research in this area to reveal the best practices, knowledge sets, and skills required to develop the discipline. To address this gap, this paper presents a brief overview of the results of the first Global Data Journalism Survey, which includes the participation of journalists from 43 countries. Presented results shed light on a variety of aspects of data journalism practice across the globe, including demographics, skills, education, and formation of data teams, as well as the opportunities and values associated with data journalism.

Keywords

Data journalism Data-driven journalism Journalism Computer assisted reporting Precision journalism Global Data Journalism Survey 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Information and Communication StudiesUniversity College DublinDublinIreland

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