Type
Article
Titre
Narrating Networks : Exploring the affordances of networks as storytelling devices in journalism
Dans
Digital Journalism
Auteur(s)
BOUNEGRU Liliana - University of Groningen [Groningen] (Auteur)
VENTURINI Tommaso - Médialab (Auteur)
GRAY Jonathan - Open Knowledge Foundation (Auteur)
JACOMY Mathieu - Médialab (Auteur)
Éditeur
SG
DOI
http://dx.doi.org/10.1080/21670811.2016.1186497
Mots clés
data journalism, digital journalism, multimodal analysis, narratives, network analysis, network visualization
Résumé
EN
Networks have become the de facto diagram of the Big Data age (try searching Google Images for [big data AND visualisation] and see). The concept of networks has become central to many fields of human inquiry and is said to revolutionise everything from medicine to markets to military intelligence. While the mathematical and analytical capabilities of networks have been extensively studied over the years, in this article we argue that the storytelling affordances of networks have been comparatively neglected. In order to address this we use multimodal analysis to examine the stories that networks evoke in a series of journalism articles. We develop a protocol by means of which narrative meanings can be construed from network imagery and the context in which it is embedded, and discuss five different kinds of narrative readings of networks, illustrated with analyses of examples from journalism. Finally, to support further research in this area, we discuss methodological issues that we encountered and suggest directions for future study to advance and broaden research around this defining aspect of visual culture after the digital turn.

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