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2024 | OriginalPaper | Buchkapitel

26. Data Journalism and Visualisation: Prospects of Data Driven Storytelling

verfasst von : Sharmila Kayal, Mahul Brahma

Erschienen in: Handbook of Digital Journalism

Verlag: Springer Nature Singapore

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Abstract

Data-driven journalism is the future whereas visualisation is the key for effective storytelling. As the conventional definition of journalism blended digitally with a great pace over the period of time; so, the Journalists need to be data-savvy. It is necessary on this hand to extend in learning data driven reporting and story writing with effective visualisation techniques. Data driven journalism and visualisation is spanning loops between number experts and ‘word’-smiths. This is an attempt in order to understand the overview of the significance of records analysis and visualisation in various environments, consisting of mind mapping and storyboarding. This study has tried to identify the key strength lies in the variety of choices that convey personal reports to the issue. While this chapter incorporates many snapshots, it would advantage for the readers from crucial wondering questions, conclusions or problems to use tools and the art of storyboarding which is a key equipment for data driven storytelling and visualisation. This chapter covers various case studies and examples. It is lighter on the tangible skills, details, and complexities that can be applied to the projects the students and scholars of media and communication would encounter.

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Metadaten
Titel
Data Journalism and Visualisation: Prospects of Data Driven Storytelling
verfasst von
Sharmila Kayal
Mahul Brahma
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-99-6675-2_26