Research output: Contribution to journal › Article › peer-review
Narrating Networks : Exploring the affordances of networks as storytelling devices in journalism. / Bounegru, Liliana; Venturini, Tommaso; Gray, Jonathan et al.
In: Digital Journalism, Vol. 5, No. 6, 03.07.2017, p. 699-730.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Narrating Networks
T2 - Exploring the affordances of networks as storytelling devices in journalism
AU - Bounegru, Liliana
AU - Venturini, Tommaso
AU - Gray, Jonathan
AU - Jacomy, Mathieu
PY - 2017/7/3
Y1 - 2017/7/3
N2 - 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.
AB - 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.
KW - data journalism
KW - digital journalism
KW - multimodal analysis
KW - narratives
KW - network analysis
KW - network visualisation
KW - networks
KW - storytelling
UR - http://www.scopus.com/inward/record.url?scp=84975263630&partnerID=8YFLogxK
U2 - 10.1080/21670811.2016.1186497
DO - 10.1080/21670811.2016.1186497
M3 - Article
AN - SCOPUS:84975263630
VL - 5
SP - 699
EP - 730
JO - Digital Journalism
JF - Digital Journalism
SN - 2167-0811
IS - 6
ER -
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