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Data-Driven Storytelling





ISBN 9781138197107
Published March 29, 2018 by A K Peters/CRC Press
296 Pages - 56 Color & 14 B/W Illustrations

 
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Book Description

This book presents an accessible introduction to data-driven storytelling. Resulting from unique discussions between data visualization researchers and data journalists, it offers an integrated definition of the topic, presents vivid examples and patterns for data storytelling, and calls out key challenges and new opportunities for researchers and practitioners.

 

Table of Contents

Chapter 1. Introduction

Nathalie Henry Riche, Christophe Hurter, Nicholas Diakopoulos, Sheelagh Carpendale

Chapter 2. From Cognitive to Design Principles

Barbara Tversky

Chapter 3. Exploration and Explanation in Data-Driven Storytelling

Alice Thudt, Theresia Gschwandtner, Jagoda Walny, Jason Dykes, and John Stasko

Chapter 4. Data-Driven Storytelling Techniques: Analysis of a Curated Collection of Visual Stories

Charles D. Stolper, Bongshin Lee, Nathalie Henry Riche, and John Stasko

Chapter 5. Narrative Design Patterns for Data-Driven Storytelling

Benjamin Bach, Moritz Stefaner, Jeremy Boy, Steven Drucker, Lyn Bartram, Jo Wood, Paolo Ciuccarelli, Yuri Engelhardt, Ulrike Koeppen, Barbara Tversky

Chapter 6. Watches to Augmented Reality Devices and Gadgets for Data-Driven Storytelling

Bongshin Lee, Tim Dwyer, Dominikus Baur, Xaquín Gonzalez Veira

Chapter 7. From Analysis to Communication Supporting the Lifecycle of a Story

Fanny Chevalier, Melanie Tory, Bongshin Lee, Jarke van Wijk, Giuseppe Santucci, Marian Dörk, Jessica Hullman

Chapter 8. Organizing the Work of Data-Driven Visual Storytelling

Christina Elmer, Jonathan Schwabish, Benjamin Wiederkehr

Chapter 9. Communicating Data to an Audience

Steven Drucker, Samuel Huron, Robert Kosara, Jonathan Schwabish, Nicholas Diakopoulos

Chapter 10. Ethics in Data-Driven Visual Storytelling

Nicholas Diakopoulos

Chapter 11. Evaluating Data-Driven Stories & Storytelling Tools

Fereshteh Amini, Matthew Brehmer, Gordon Bolduan, Christina Elmer, Benjamin Wiederkehr

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Editor(s)

Biography

Dr. Nathalie Henry Riche is a researcher at Microsoft Research since December 2008. She holds a Ph.D. in computer science from the University of Paris XI and INRIA, France, as well as from the University of Sydney, Australia. Her research focuses on human-computer interaction and information visualization.

Dr. Christophe Hurter is a professor at the Interactive Data Visualization group ( part of the DEVI team) of the French Civil Aviation University (ENAC) in Toulouse, France.

Dr. Nicholas Diakopoulos is an Assistant Professor at the Northwestern University School of Communication where he directs the Computational Journalism Lab

Dr. Sheelagh Carpendale is a professor in the Department of Computer Science at the University of Calgary where she holds a Canada Research Chair in Information Visualization, the NSERC/AITF/SMART Technologies Industrial Research Chair in Interactive Technologies and leads the Innovations in Visualization (InnoVis) research group.

Reviews

Trumpets please! This lucidly written report on data-driven storytelling lays out the compelling benefits and substantial challenges of this potent journalistic innovation. The strong team of authors offer fresh thinking and thoughtful guidance on exploration, explanation, engagement, ethics, and evaluation. Packed with examples for practitioners and references for researchers, this book opens up fresh possibilities that extend information visualization into decision-making, policy-shifting, and mind-changing applications.

-Ben Shneiderman, University of Maryland

Data-Driven Storytelling presents an accessible and informative introduction to data-driven storytelling. Resulting from unique discussions between data visualization researchers and data journalists, Data-Driven Storytelling offers an integrated definition of the topic, presents vivid examples and patterns for data storytelling, and calls out key challenges and new opportunities for researchers and practitioners. The newest addition to the simply outstanding CRC Press 'A K Peters Visualization Series', Data-Driven Storytelling is unreservedly recommended for professional, corporate, college, and university library Computer Science & Engineering collections and supplemental studies reading lists.

-Midwest Book Review, May 2018

 Data-Driven Storytelling promotes an efficient way of data-driven storytelling in professionalism and its profound implications. This approach involves visualizations, explorations, explanations, curated visuals, narrative design patterns, process from analysis to communication, impressing the audience, ethical guidelines and evaluation methods on successful the data driven storytelling.

-Ramalingam Shanmugam, Journal of Statistical Computation and Simulation