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Authors: Franziska Huth 1 ; Tanja Blascheck 1 ; Steffen Koch 1 ; Sonja Utz 2 and Thomas Ertl 1

Affiliations: 1 University of Stuttgart, Germany ; 2 Leibniz-Institut für Wissensmedien Tübingen and University of Tübingen, Germany

Keyword(s): Word-sized Visualization, Visualization of Categories, Social Media Analysis.

Abstract: In this paper, we explore the design space of word-sized visualizations—small graphics, usually the same size as a word, that visualize data in or related to a text—for displaying and exploring categories in social media feeds such as Twitter streams. Social media contributions are typically microposts, which allow us to attach word-sized visualizations to show category assignment, diversity, or development. We consider and combine word-sized visualizations made up of basic marks and visual variables, existing word-sized visualization concepts, as well as large text visualizations. In an application example we show how word-sized visualizations can evince context changes within a discussion on Twitter and reveal topic diversity.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Huth, F., Blascheck, T., Koch, S., Utz, S. and Ertl, T. (2021). Word-sized Visualizations for Exploring Discussion Diversity in Social Media. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 256-265. DOI: 10.5220/0010328602560265

@conference{ivapp21,
author={Franziska Huth and Tanja Blascheck and Steffen Koch and Sonja Utz and Thomas Ertl},
title={Word-sized Visualizations for Exploring Discussion Diversity in Social Media},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP},
year={2021},
pages={256-265},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010328602560265},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP
TI - Word-sized Visualizations for Exploring Discussion Diversity in Social Media
SN - 978-989-758-488-6
IS - 2184-4321
AU - Huth, F.
AU - Blascheck, T.
AU - Koch, S.
AU - Utz, S.
AU - Ertl, T.
PY - 2021
SP - 256
EP - 265
DO - 10.5220/0010328602560265
PB - SciTePress

- Science and Technology Publications, Lda.
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