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2019 | OriginalPaper | Chapter

1. A New Dawn for the “Developing” World? Probing Data Journalism in Non-Western Societies

Author : Bruce Mutsvairo

Published in: Data Journalism in the Global South

Publisher: Springer International Publishing

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Abstract

When all is said and done, technology has continued to play a critical role in unveiling new thinking in journalism research and practice. But up until now, very few have talked about data journalism in non-Western contexts—at least not in an academic setting, leaving many wondering whether it exists. The watchword “data journalism” has continued to gather pace as journalists across the world are increasingly turning to numerical figures and data gurus to boost their innovative storytelling techniques and methods. This chapter seeks to explore the practical, methodological and theoretical underpinnings of data journalism, critiquing various newsrooms’ growing reliance on structured pieces of data at the expense of traditionally structured news stories. This chapter does not seek to challenge notions or suggestions that data journalism is a Western phenomenon but it will bring critical, up-to-date deliberations and developments that have dominated an upsurge of discussions and dialogues surrounding what others consider an emerging form of journalism. The chapter provides a historical analysis of data journalism aligning itself to key developments in non-Western contexts before discussing current and impending opportunities and challenges. The chapter establishes data journalism’s inherent potential but argues that its sustainability lies in its aptitude to comprehend the functions and role of journalism in a given society. Data journalism is, after all, journalism.

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Metadata
Title
A New Dawn for the “Developing” World? Probing Data Journalism in Non-Western Societies
Author
Bruce Mutsvairo
Copyright Year
2019
Publisher
Springer International Publishing
Book
Data Journalism in the Global South

Print ISBN: 978-3-030-25176-5

Electronic ISBN: 978-3-030-25177-2

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-25177-2_1