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20182026
most citedHow to Make Causal Inferences Using Texts

59 citations · 86 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

CT: Counterfactual Causal Reasoning for Sentiment Shifts in Social-Media Conversation Trees

S M Rafiuddin, Atriya Sen

Sentiment in social-media threads does not only vary across posts; it shifts as users react to claims, corrections, evidence, and hostility within a branching reply tree. We study…

cs.CL2024★ 4 cited

AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments

Till Raphael Saenger, Musashi Hinck, Justin Grimmer +1

We introduce AutoPersuade, a three-part framework for constructing persuasive messages. First, we curate a large dataset of arguments with human evaluations. Next, we develop a nov…

cs.CL2021★ 15 cited

Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond

Amir Feder, Katherine A. Keith, Emaad Manzoor +10

A fundamental goal of scientific research is to learn about causal relationships. However, despite its critical role in the life and social sciences, causality has not had the same…

stat.ME2020★ 8 cited

Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding

Justin Grimmer, Dean Knox, Brandon M. Stewart

The empirical practice of using factor models to adjust for shared, unobserved confounders, , in observational settings with multiple treatments, , is wides…

stat.ML2018★ 59 cited

How to Make Causal Inferences Using Texts

Naoki Egami, Christian J. Fong, Justin Grimmer +2

New text as data techniques offer a great promise: the ability to inductively discover measures that are useful for testing social science theories of interest from large collectio…