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Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis (2025)
Causal Priors and Their Influence on Judgements of Causality in Visualized Data (2025)
CausalSynth: An Interactive Web Application for Synthetic Dataset Generation and Visualization with User-Defined Causal Relationships (2024)
Leveraging LLMs to Infer Causality from Visualized Data: Alignments and Deviations from Human Judgements (2024)
A framework to improve causal inferences from visualizations using counterfactual operators (2024)
An Empirical Study of Counterfactual Visualization to Support Visual Causal Inference (2024)
Using Counterfactuals to Improve Causal Inferences from Visualizations (2024)
Countering Simpson’s Paradox with Counterfactuals (2023)
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