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Author: Martin Engebretsen

Affiliation: Department of Nordic and Media Studies, University of Agder, Universitetsveien 25, Kristiansand, Norway

Keyword(s): Data Visualization, Popular Science Communication, Social Semiotics, Discourse Analysis, Design Practices

Abstract: Data visualizations have proliferated on public arenas for information and communication – in journalism, PR and governmental information as well as in popular science communication (PSC). In the existing literature on PSC, simplicity, relevance and trust are identified as critical factors for the communication to succeed. This position paper argue that data visualizations represent a semiotic resource with unique potentials regarding all of these criteria. The paper aims at presenting a theoretical and methodological framework for studying data visualizations applied in popular science discourses. The main goals are a) to introduce social semiotics as an advanced analytical tool for the scrutiny of data visualizations, b) to introduce PUS (Public understanding of science) as a field relevant for empirical studies of data visualization, and c) to present a method of analysis combining a small scale corpus analysis with multimodal close reading of selected visualizations.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Engebretsen, M. (2020). What ‘Work’ Can Dataviz Do in Popular Science Communication?. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - IVAPP; ISBN 978-989-758-402-2; ISSN 2184-4321, SciTePress, pages 260-264. DOI: 10.5220/0009094002600264

@conference{ivapp20,
author={Martin Engebretsen.},
title={What ‘Work’ Can Dataviz Do in Popular Science Communication?},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - IVAPP},
year={2020},
pages={260-264},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009094002600264},
isbn={978-989-758-402-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - IVAPP
TI - What ‘Work’ Can Dataviz Do in Popular Science Communication?
SN - 978-989-758-402-2
IS - 2184-4321
AU - Engebretsen, M.
PY - 2020
SP - 260
EP - 264
DO - 10.5220/0009094002600264
PB - SciTePress