2017
DOI: 10.1080/17512786.2016.1270171
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What Makes for Great Data Journalism?

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Cited by 114 publications
(61 citation statements)
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“…It also fits, they say, a trend towards user integration and a turn from product to process. 4 Product-oriented studies have revealed that everyday data-driven news stories most often include static DVs in the forms of bar charts, line graphs and maps (Stalph 2017), while award-winning projects often offer interactive features and sometimes include elements of animation (Loosen et al 2017;Young et al 2017). In their study of best practices in a Canadian context, Young et al (2017) conclude that there is a lack of clear standards as to what is considered excellence in the field of data journalism.…”
Section: Related Work On Data Visualizationmentioning
confidence: 99%
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“…It also fits, they say, a trend towards user integration and a turn from product to process. 4 Product-oriented studies have revealed that everyday data-driven news stories most often include static DVs in the forms of bar charts, line graphs and maps (Stalph 2017), while award-winning projects often offer interactive features and sometimes include elements of animation (Loosen et al 2017;Young et al 2017). In their study of best practices in a Canadian context, Young et al (2017) conclude that there is a lack of clear standards as to what is considered excellence in the field of data journalism.…”
Section: Related Work On Data Visualizationmentioning
confidence: 99%
“…The issue of interactivity is central in debates about the development of digital journalism and data visualization in particular, as Young et al (2017) point out. McMillan (2006 defines interactivity as the facilitation of active-user participation, with respect to content displayed on the screen (such as navigation and filtering), to other human participants (responding, sharing) or to the system of computer-mediated representation (switching between display options).…”
Section: Related Work On Data Visualizationmentioning
confidence: 99%
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“…Hitherto, most analyses of data journalism artefacts resorted to descriptive accounts of chart types and degrees of interactivity or data providers. Most of these endeavours were either standalone quantitative analyses (see Appelgren, 2018;Knight, 2015;Lowrey & Hou, 2018;Ojo & Heravi, 2017;Reimer & Loosen, 2017;Stalph, 2017;Tandoc & Oh, 2017;Young, Hermida, & Fulda, 2018) or integrated within qualitative designs (see De Maeyer et al, 2015;Parasie, 2015;Parasie & Dagiral, 2013;Tabary, Provost, & Trottier, 2016;Young & Hermida, 2015;Zhang & Feng, 2018). Few of these studies, however, take into account sociomaterial underpinnings of such artefacts.…”
Section: Artefacts Of Data Journalismmentioning
confidence: 99%
“…These include studying nominees or winners of various awards and competitions such as the Data Journalism Awards, e.g. (Loosen et al 2017;Ojo & Heravi 2017;Young et al 2017), or studies of specific news organisations data journalism and data visualisation practices, e.g. (Stalph 2017).…”
Section: Related Workmentioning
confidence: 99%