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Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates
AbstractMany applications of computational social science aim to infer causal conclusions from non-experimental data. Such observational data often contains confounders, variables that influence both potential causes and potential effects. Unmeasured …...