Structured and uncertainty-aware data storytelling

Yuchen Zhao; Tom Blount; Laura Koesten; Elena Simperl

Structured and uncertainty-aware data storytelling

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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.

Original language	Undefined/Unknown
Title of host publication	CHI ?19 Workshop on HCI for Accurate, Impartial and Transparent Journalism: Challenges and Solutions (05/05/19 - 05/05/19)
Publication status	Published - 1 May 2019

Access to Document

https://eprints.soton.ac.uk/431822/

Cite this

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title = "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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AU - Koesten, Laura

AU - Simperl, Elena

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N2 - 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.

AB - 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.

M3 - Conference paper

BT - CHI ?19 Workshop on HCI for Accurate, Impartial and Transparent Journalism: Challenges and Solutions (05/05/19 - 05/05/19)

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