Structured and Uncertainty-Aware Data Storytelling

Yuchen Zhao, Tom Blount, Laura Koesten, Elena Simperl

Veröffentlichungen: Beitrag zu KonferenzPaperPeer Reviewed

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.
OriginalspracheEnglisch
Seitenumfang5
PublikationsstatusVeröffentlicht - 5 Mai 2019
Extern publiziertJa
VeranstaltungCHI ’19 Workshop on HCI for Accurate, Impartial and Transparent Journalism: Challenges and Solutions - Glasgow, Großbritannien / Vereinigtes Königreich
Dauer: 5 Mai 20195 Mai 2019

Seminar/Workshop

Seminar/WorkshopCHI ’19 Workshop on HCI for Accurate, Impartial and Transparent Journalism: Challenges and Solutions
Land/GebietGroßbritannien / Vereinigtes Königreich
OrtGlasgow
Zeitraum5/05/195/05/19

ÖFOS 2012

  • 102013 Human-Computer Interaction

Zitationsweisen