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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/219578
Data Visualization in the News Media: Trends and Challenges
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Data visualization is applied intensively in the digital news media
where it serves as an effective tool for storytelling and for facilitating explana tions of complex or data-intensive information. However, research and theoreti cal studies of this type of narrative lag badly behind in terms of both their volume
and importance. It is in response to this failure to keep pace that this chapter seeks
to review academic and scientific production dedicated to understanding the
news media, data visualization and, more specifically, information visualization,
infographics, visual narratives, and visual storytelling. In so doing, our aims are
to, first, delimit the state of the art of this discipline; second, describe emerging
trends and the challenges faced when seeking to deploy data visualization, at the
same time as identifying the technologies and protocols being employed to this
end and, third, deter-mine the possibilities and limitations of its use for commu nication and journalism. We find that recent studies have focused primarily on
infographics, data journalism, structured journalism, media literacy and the
reader’s interpretation of visual data, the exploitation of visualization in the dig ital media, and visual analytics. Studies of data visualization technologies and
tools have shown an interest above all in the application of big data strategies
within the news media, as well as in the development of software and tools of
visual analysis. Finally, our scientific database revealed a number of studies ded icated to visual analytics, the specific challenges faced and the decision-making
processes involved.
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LOPEZOSA, Carlos, PÉREZ-MONTORO, Mario, GUALLAR, Javier. Data Visualization in the News Media: Trends and Challenges. _Capítol 16 del llibre: Guarda_. T.. Vol. Fernandes, pàgs. Augusto. [consulta: 7 de desembre de 2025]. [Disponible a: https://hdl.handle.net/2445/219578]