Data-driven storytelling
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 cha...
| Otros Autores: | , , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
A K Peters/CRC Press, an imprint of Taylor and Francis
2018.
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| Edición: | First edition |
| Colección: | A K Peters visualization series.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009792971106719 |
Tabla de Contenidos:
- Introduction / Nathalie Henry Riche, Christophe Hurter, Nicholas Diakopoulos, and Sheelagh Carpendale : Research in data visualization : from understanding to exploration to data storytelling ; Practice in data journalism: from communication to data ; Evidence to data storytelling ; Forging new interdisciplinary prospectives
- Storytelling in the wild: implications for data storytelling / Barbara Tversky : Perceiving and understanding events ; Spontaneous retellings of events ; Kinds of discourse ; Graphic descriptions, explanations, and storytelling ; How graphics work ; Designing effective graphic displays ; Looking forward: insights from comix ; Returning to data ; Design of the world: Spraction ; Pulling things together
- Exploration and explanation in data-driven storytelling / Alice Thudt, Jagoda Walny, Theresia Gschwandtner, Jason Dykes, and John Stasko : Characterizing exploration and explanation in visual data-drive stories ; Dimensions of data-driven visual stories : Flexibility; Interpretation ; Benefits of exploration and explanation
- Data-driven storytelling techniques: analysis of a curated collection of visual stories / Charles D. Stolper, Bongshin Lee, Nathalie Henry Riche, and John Stasko / Analysis method and process ; Visualization-driven storytelling techniques : Communicating narrative and explaining data; Linking separated story elements; Enhancing structure and navigation; Providing controlled exploration ; Discussion and future work : Composing multiple techniques; Opportunities for authoring tools : Controlled reader interaction and experience; Smart, dynamic, data-driven annotations; Navigation through scrolling; Effectiveness-informed authoring
- Narrative design patterns for data-driven storytelling / Benjamin Bach, Moritz Stefaner, Jeremy Boy, Steven Drucker, Lyn Bartram, Jo Wood, Paolo Ciuccarelli, Yuri Engelhardt, Ulrike Köppen, and Barbara Tversky : Narrative patterns : Patterns for: Argumentation; Flow; Framing the narrative; Empathy and emotion; Engagement ; Use cases : U.S. debt visualized; Can you live on the minimum wage?; What's really warming the world? ; Discussion : Using narrative patterns; Storytelling techniques; Presentation medium; Different notions of time; Audience and general intention
- Watches to augmented reality: devices and gadgets for data-driven storytelling / Bongshin Lee, Tim Dwyer, Dominikus Baur, and Xaquín González Veira : Characteristics of different devices ; Examples of practices by devices ; Opportunities and challenges
- From analysis to communication: supporting the lifecycle of a story / Fanny Chevalier, Melanie Tory, Bongshin Lee, Jarke van Wijk, Giuseppe Santucci, Marian Dörk, and Jessica Hullman : Understanding current practices: interviews with data storytellers : Methodology; Storytelling process; Origin of the story; Roles; Storytelling constraints ; Tool landscape ; Directions for research and design
- Organizing the work of data-driven visual storytelling / Christina Elmer, Jonathan Schwabish, and Benjamin Wiederkehr : Design studios : Organizational structure; Skill sets; Tools and technologies; Process and project selection; Reflections and lessons learned ; Media organizations : Structure and organization; Skill sets; Tools and technologies; Process and project selection; Reflections and lessons learned ; NGOs and nonprofits : Structure and organization; Skill sets; Tools and technologies; Process and project selection; Reflections and lessons learned ; Conclusion ; Appendices : Glossary and definitions ; Tools ; Interview questionnaire ; Interviewees
- Communicating with data to an audience / Steven Drucker, Samuel Huron, Robert Kosara, Jonathan Schwabish, and Nicholas Diakopoulos : What does the audience know? : Data and visualization literacy: the annotation layer; Background knowledge and expertise; Design expectations ; What does the audience want? : Media wants and needs; Tailoring to the audience without knowing it; Directly engaging the audience ; Specific design contexts : The reality of the newsroom; Visualization for television
- Ethics in data-drive visual storytelling / Nicholas Diakopoulos : Data acquisition : Provenance; Quantification ; Data transformation : Normalization; Aggregation; Algorithmic derivation; Filtering; Anonymization ; Conveying and connecting insights : Visual mapping and representation; Implied relationships; Context and annotation; Interactivity
- Evaluating data-driven stories and storytelling tools / Fereshteh Amini, Matthew Brehmer, Gordon Bolduan, Christina Elmer, and Benjamin Wiederkehr : Goals and perspectives : Author/storyteller goals; Publisher goals; Data-driven storytelling tool/technique developer goals; Audience goals ; Evaluation criteria : Criteria for evaluating data-driven stories; Criteria for evaluating data-driven storytelling tools ; Evaluation methods : Methods for evaluating data-driven stories; Methods for evaluating data-driven storytelling tools ; Evaluation metrics : Quantitative metrics for stories; Categorical metrics for stories; Qualitative metrics for stories ; Challenges and constraints : Human resources expertise; Time/deadlines; Budget; External validity.
