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

Kód výsledku v 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>

Výsledek na webu

<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

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

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OECD FORD obor

50800 - Media and communications

Projekt

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

Návaznosti

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

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Mediální studia / Media Studies

ISSN

1801-9978

e-ISSN

2464-4846

Svazek periodika

16

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

27

Strana od-do

65-91

Kód UT WoS článku

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EID výsledku v databázi Scopus

2-s2.0-85138646785