Die Arbeitsgruppe zieht um!

Wir wechseln im Wintersemester 2021/22 an die Universität Bamberg. Ab 15. Oktober 2021 übernimmt Fabian Beck den dortigen Lehrstuhl für Informationsvisualisierung.

Neue Webseite der Arbeitsgruppe: https://www.uni-bamberg.de/vis

Publikationen

Publikationen der Arbeitsgruppe, die seit 2016 erschienen sind. Frühere Publikationen von Fabian Beck sind auf Google Scholar oder DBLP zu finden.

A Deeper Understanding of Visualization–Text Interplay in Geographic Data-driven Stories

Art der Publikation: Beitrag in Zeitschrift

A Deeper Understanding of Visualization–Text Interplay in Geographic Data-driven Stories

Autor(en):
Latif, Shahid; Chen, Siming; Beck, Fabian
Titel der Zeitschrift:
Computer Graphics Forum
Jahrgang (Veröffentlichung):
40 (2021)
Heftnummer:
3
Volltext:
A Deeper Understanding of Visualization–Text Interplay in Geographic Data-driven Stories (1.10 MB)
Vortrag zu dieser Publikation:
EuroVis 2021
Aufzeichnung:
https://youtu.be/BANTOSyWsFI?t=40
Zitation:
Download BibTeX

Kurzfassung

Data-driven stories comprise of visualizations and a textual narrative. The two representations coexist and complement each other. Although existing research has explored the design strategies and structure of such stories, it remains an open research question how the two representations play together on a detailed level and how they are linked with each other. In this paper, we aim at understanding the fine-grained interplay of text and visualizations in geographic data-driven stories. We focus on geographic content as it often includes complex spatiotemporal data presented as versatile visualizations and rich textual descriptions. We conduct a qualitative empirical study on 22 stories collected from a variety of news media outlets; 10 of the stories report the COVID-19 pandemic, the others cover diverse topics. We investigate the role of every sentence and visualization within the narrative to reveal how they reference each other and interact. Moreover, we explore the positioning and sequence of various parts of the narrative to find patterns that further consolidate the stories. Drawing from the findings, we discuss study implications with respect to best practices and possibilities to automate the report generation.