Visualization of Swedish News Articles: A Design Study

Kostiantyn Kucher, Nellie Engström, Wilma Axelsson, Berkant Savas, Berkant Savas, Andreas Kerren, Andreas Kerren

2024

Abstract

The amount of available text data has increased rapidly in the past years, making it difficult for many users to find relevant information. To solve this, natural language processing (NLP) and text visualization methods have been developed, however, they typically focus on English texts only, while the support for low-resource languages is limited. The aim of this design study was to implement a visualization prototype for exploring a large number of Swedish news articles (made available by industrial collaborators), including the temporal and relational data aspects. Sketches of three visual representations were designed and evaluated through user tests involving both our collaborators and end-users (journalists). Next, an NLP pipeline was designed in order to support dynamic and hierarchical topic modeling. The final part of the study resulted in an interactive visualization prototype that uses a variation of area charts to represent topic evolution. The prototype was evaluated through an internal case study and user tests with two groups of participants with the background in journalism and NLP. The evaluation results reveal the participants’ preference for the representation focusing on top topics rather than the topic hierarchy, while suggestions for future work relevant for Swedish text data visualization are also provided.

Paper Citation

in Harvard Style

Kucher K., Engström N., Axelsson W., Savas B. and Kerren A. (2024). Visualization of Swedish News Articles: A Design Study. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP; ISBN 978-989-758-679-8, SciTePress, pages 670-677. DOI: 10.5220/0012398600003660

in Bibtex Style

@conference{ivapp24,
author={Kostiantyn Kucher and Nellie Engström and Wilma Axelsson and Berkant Savas and Andreas Kerren},
title={Visualization of Swedish News Articles: A Design Study},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP},
year={2024},
pages={670-677},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012398600003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP
TI - Visualization of Swedish News Articles: A Design Study
SN - 978-989-758-679-8
AU - Kucher K.
AU - Engström N.
AU - Axelsson W.
AU - Savas B.
AU - Kerren A.
PY - 2024
SP - 670
EP - 677
DO - 10.5220/0012398600003660
PB - SciTePress