This study applies a typology of public data transparency infrastructure and the
contextualism framework for analysing journalism practice to examine patterns in data …

For more than two years now, the Covid-19 pandemic has impacted the world, also affecting
the field of digital journalism studies, including practitioners, media organisations …

This article explores the existing research literature on data journalism. Over the past years,
this emerging journalistic practice has attracted significant attention from researchers in …

This commentary reflects on the state of research on data journalism and discusses future
directions for this line of work. Drawing on theory in international development and …

Creative Commons License CC BY NC ND (http://creativecommons. org/licenses/by-nc-
nd/3.0) All authors/Amsterdam University Press BV, Amsterdam 2021 Some rights reserved …

Data-driven journalism can be considered as journalism's response to the datafication of
society. To better understand the key components and development of this still young and …

During its period of rapid growth, data journalism was poised to position journalism as
society's watchdog once again. But despite eager predictions, its rate of adoption outside …

Although data journalism is practiced globally, data journalism research has traditionally
focused on a limited set of countries, primarily within the liberal and democratic corporatist …

This chapter offers a typology for understanding data journalism, computational journalism,
computer-assisted reporting, and other forms of quantitative journalism in a 2015 journal …

In the last decade or so, the attempt to rethink journalism expertise has been made in the
context of a radically changing media environment. While many new journalism skills and …