Visualization misinformation is a prevalent problem, and combating it requires
understanding people's ability to read, interpret, and reason about erroneous or potentially …

Online data visualizations are widely used to communicate information from simple statistics
to complex phenomena, supporting people in gaining important insights from data …

This study examines the quality of winners and finalists in major national and international
data journalism awards. We completed a content analysis of data projects submitted by …

Traditional scatterplots fail to scale as the complexity and amount of data increases. In
response, there exist many design options that modify or expand the traditional scatterplot …

Various case studies in different application domains have shown the great potential of
visual parameter space analysis to support validating and using simulation models. In order …

There is fast‐growing literature on provenance‐related research, covering aspects such as
its theoretical framework, use cases, and techniques for capturing, visualizing, and …

Immersive Analytics is a new research initiative that aims to remove barriers between
people, their data and the tools they use for analysis and decision making. Here we clarify …

Information visualization designers strive to design data displays that allow for efficient
exploration, analysis, and communication of patterns in data, leading to informed decisions …

In response to COVID-19, a vast number of visualizations have been created to
communicate information to the public. Information exposure in a public health crisis can …

Abstract In 2005, Franco Moretti introduced Distant Reading to analyse entire literary text
collections. This was a rather revolutionary idea compared to the traditional Close Reading …