Structured and Uncertainty-Aware Data Storytelling
Abstract
Data stories are an increasingly popular medium for delivering information in the field of journalism. More and more journalists are telling stories directly from data, by creating and combining data visualisations. A good data story, as with any other types of news story, should convey the author’s message accurately, and without distorting the underlying data. In this paper, we introduce our ongoing project, which aims to help data journalists create accurate stories by providing a logical story structure and informing authors of data-uncertainty through the whole life cycle of story creation. We identify key challenges in this space, and present our design considerations for addressing them.
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- Zhao, Yuchen
- Blount, Tom
- Koesten, Laura
- Simperl, Elena
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Shortfacts
Category |
Paper in Conference Proceedings or in Workshop Proceedings (Paper) |
Event Title |
ACM SIGCHI Conference on Human Factors in Computing Systems 2019 |
Divisions |
Visualization and Data Analysis |
Subjects |
Informatik in Beziehung zu Mensch und Gesellschaft |
Event Location |
Glasgow, Scotland, UK |
Event Type |
Workshop |
Event Dates |
4-9 May 2019 |
Date |
5 May 2019 |
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