Abstract Information visualization (InfoVis), the study of transforming data, information, and
knowledge into interactive visual representations, is very important to users because it …

Develo** effective visual analytics systems demands care in characterization of domain
problems and integration of visualization techniques and computational models. Urban …

While advanced text generation algorithms (eg, GPT-3) have enabled writers to co-create
stories with an AI, guiding the narrative remains a challenge. Existing systems often …

Deep convolutional neural networks (CNNs) have achieved breakthrough performance in
many pattern recognition tasks such as image classification. However, the development of …

We present an overview of the last ten years of research on visualizations that support close
and distant reading of textual data in the digital humanities. We look at various works …

The rapid development of deep natural language processing (NLP) models for text
classification has led to an urgent need for a unified understanding of these models …

Throughout history, storytelling has been an effective way of conveying information and
knowledge. In the field of visualization, storytelling is rapidly gaining momentum and …

It is important for many different applications such as government and business intelligence
to analyze and explore the diffusion of public opinions on social media. However, the rapid …

A variety of human movement datasets are represented in an Origin-Destination (OD) form,
such as taxi trips, mobile phone locations, etc. As a commonly-used method to visualize OD …

In recent years, narrative visualization has gained much attention. Researchers have
proposed different design spaces for various narrative visualization genres and scenarios to …