Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41383

Media Professionals’ Opinions about Interactive Visualizations of Political Polarization during Brazilian Presidential Campaigns on Twitter

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Title: Media Professionals’ Opinions about Interactive Visualizations of Political Polarization during Brazilian Presidential Campaigns on Twitter
Authors: Queiroz Santos, Caroline
Cunha, Holisson
Teixeira, Carlos
Ramos de Souza, Daniele
Tietzmann, Roberto
show 5 moreManssour, Isabel
Selbach Silveira, Milene
Träsel, Marcelo
Dubugras Alcoba Ruiz, Duncan
Barros, Rodrigo

show less
Keywords: data journalism
interactive visualization
machine learning
social media
Issue Date: 04 Jan 2017
Abstract: Interactive data visualization techniques are an important way to obtain information from large datasets. Data journalism is an emerging area that strongly makes use of such techniques. In this work we investigate the relationship between journalists (and media professionals) in their job routine and data visualization, with the main goal of understanding if these professionals know and use data visualization tools in their job context, as well as if they consider these resources to be important. For this, we present the results of a survey made with journalists and media professionals to analyze how interactive visualizations could help them to get insight or knowledge of such data, and if their use may improve and support these professionals' activities. The results indicate that visualization and data analysis tools are still not easily accessible by those professionals, and therefore still less influential than they could be. However, most participants considered data visualization a valuable resource in their news production routines. As a contribution, we also identified positive points and understanding gaps of visualizations, as well as the perception of journalists and media professionals about getting information from data visualization.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/41383
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.229
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Data Analytics and Data Mining for Social Media Minitrack



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