2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.HC2026
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…
cs.HC2024
"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…
cs.HC2024★ 2 cited
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…