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date: 23 September 2020

Summary and Keywords

With international awards celebrating outstanding work, courses appearing in universities, regular sections dedicated to it in major publications, and financial packages awarded to help journalists develop interactive digital storytelling skills, “data journalism” has, over the last decade, gained worldwide recognition. Questions still open for exploration include how sustainable is it and how is it manifesting in different parts of the world, with different government policies about making data available. Even so, assumptions that data journalism is a “new” phenomenon have been challenged as researchers continue to dig deeper into its past.

Very few will doubt the opportunities and innovations it presents especially insofar as rethinking professional practice and retooling investigative techniques are concerned. But data journalism also presents empirical, ethical and professional challenges especially in regions of the world, where it either hasn’t taken off or it’s struggling to gain ground. While access to groundbreaking statistics and ability to adopt storytelling techniques such as computer graphics and visualizations could trigger others to seek sensational success, data journalism’s first priority is to inform adequately and accurately. Failure to do so leaves journalism, already facing intensified international scrutiny as a result of numerous challenges ranging from lack of public trust to “problems associated with normative values and democracy; the political economy of the news media; the relevance of audiences and public trust; definitions of journalism itself; and the salience of old and new forms of professional ideology,” vulnerable.

Keywords: data journalism, computational, sources, non-Western, journalism studies

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