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Visualizing COVID-19 : an analytical model to understand and compose continuously evolving data visualization projects

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14230%2F22%3A00127717" target="_blank" >RIV/00216224:14230/22:00127717 - isvavai.cz</a>

  • Result on the web

    <a href="https://medialnistudia.fsv.cuni.cz/front.file/download?file=2022%2001%2004%20kadakas.pdf" target="_blank" >https://medialnistudia.fsv.cuni.cz/front.file/download?file=2022%2001%2004%20kadakas.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Visualizing COVID-19 : an analytical model to understand and compose continuously evolving data visualization projects

  • Original language description

    The increased demand for information during the Covid-19 pandemic inspired projects to describe the pandemic’s progress via data visualization. Critically analyzing the published data visualization projects (DVPs) contributes to establishing a framework that supports both understanding and composing DVPs that evolve over time. Drawing upon constructed grounded theory, we develop an analytical model for creating DVPs in a journalistic or public communication context. For our analysis, we selected Covid-19 public service media DVPs in the United Kingdom, Norway, Sweden and Estonia as well as DVPs created by global and local data activists. The analysis of these examples provides an understanding of (1) the implied agency standing of the authors of the visualizations, (2) the kinds of editorial layer (data, visual representation, annotation or interactivity) that inform the creation process and (3) what newsrooms and data visualizers can learn from this practice to create understandable, meaningful and engaging DVPs of (critical) events that evolve over an extended period. Our model supports data visualization practitioners in making informed choices when creating data stories.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50800 - Media and communications

Result continuities

  • Project

    <a href="/en/project/EF18_053%2F0016952" target="_blank" >EF18_053/0016952: Postdoc2MUNI</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Mediální studia / Media Studies

  • ISSN

    1801-9978

  • e-ISSN

    2464-4846

  • Volume of the periodical

    16

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    27

  • Pages from-to

    65-91

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85138646785