Visualization Rhetoric: Framing Effects in Narrative Visualization

By Jessica R. Hullman, Nicholas A. Diakopoulos. IEEE Transactions on Visualization and Computer Graphics, 2011

540 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/537a94e3250153310f5920dce370df08612f7fa7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Shixia Liu
2. Mengchen Liu
3. Yingcai Wu
4. Weiwei Cui
5. Steven L. Franconeri
6. Jeffrey M. Zacks
7. Lace M. K. Padilla
8. Priti Shah

In Sociology and Political Science

1. Shixia Liu
2. Yingcai Wu
3. Mengchen Liu
4. Weiwei Cui
5. Enxun Wei
6. Jessica R. Hullman

Citations in the corpus

• A survey on information visualization: recent advances and challenges (2014, background): “As a result, several data-driven models have been studied and applied to a variety of data, such as high-dimensional data [2,11], heterogeneous data [89,129], geographic data [95], narrative data [66], and tables of counts, proportions, and probabilities [153].”
• The Science of Visual Data Communication: What Works (2021, methodology): “This work has cataloged techniques used by news outlets such as The New York Times Upshot, The Washington Post, The Economist, and FiveThirtyEight (Hullman & Diakopoulos, 2011; Hullman, Diakopoulos, & Adar, 2013; Segel & Heer, 2010) and has used computation to automatically generate visualizations…”
• StoryFlow: Tracking the Evolution of Stories (2013, background): “Recently, there has been increased interest in leveraging interactive visualizations to convey stories by journalists, politicians, social activists, and scientific researchers [15, 18, 26, 35, 36].”