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VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions
Through an expert interview and a controlled user experiment, our qualitative and quantitative results demonstrate that the proposed "de-paradox" workflow and the designed visual analytic system are effective in helping human users to identify and understand spurious associations, as well as to make accountable causal decisions.
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