Papers by David Jensen
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates (2020.acl-main)
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| Challenge: | Unmeasured or latent confounders can bias causal estimates and this has motivated interest in measuring potential confounder from observed text. |
| Approach: | They propose to use text to measure potential confounders in a way that allows for a rich measurement of multiple confounder variables. |
| Outcome: | The proposed method is based on an individual’s entire history of social media posts or the content of a news article. |