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

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Part of the book series: Lecture Notes in Computer Science ((LNISA,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.

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Notes

  1. 1.

    This survey was ran by Bahareh Heravi and Mirko Lorenz.

References

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Correspondence to Bahareh R. Heravi .

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Heravi, B.R. (2018). Data Journalism in 2017: A Summary of Results from the Global Data Journalism Survey. In: Chowdhury, G., McLeod, J., Gillet, V., Willett, P. (eds) Transforming Digital Worlds. iConference 2018. Lecture Notes in Computer Science(), vol 10766. Springer, Cham. https://doi.org/10.1007/978-3-319-78105-1_13

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  • DOI: https://doi.org/10.1007/978-3-319-78105-1_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-78104-4

  • Online ISBN: 978-3-319-78105-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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