6 citations · 11 across the 4 of their papers we have counts for
4 papers
How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process
Yu Fu, Jiawei Zhou, Sichen Jin +3
Data narratives increasingly shape public understanding, but their failures are rarely just isolated factual errors or deceptive charts. Instead, they emerge through a broader mean…
"The Data Says Otherwise"-Towards Automated Fact-checking and Communication of Data Claims
Yu Fu, Shunan Guo, Jane Hoffswell +3
Fact-checking data claims requires data evidence retrieval and analysis, which can become tedious and intractable when done manually. This work presents Aletheia, an automated fact…
Generating Analytic Specifications for Data Visualization from Natural Language Queries using Large Language Models
Subham Sah, Rishab Mitra, Arpit Narechania +3
Recently, large language models (LLMs) have shown great promise in translating natural language (NL) queries into visualizations, but their "black-box" nature often limits explaina…
What We Augment When We Augment Visualizations: A Design Elicitation Study of How We Visually Express Data Relationships
Grace Guo, John Stasko, Alex Endert
Visual augmentations are commonly added to charts and graphs in order to convey richer and more nuanced information about relationships in the data. However, many design spaces pro…