activity
20162026
most citedHow to Make Causal Inferences Using Texts

59 citations · 141 across the 7 of their papers we have counts for

collaborators

7 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.LG2023

Algorithmic Censoring in Dynamic Learning Systems

Jennifer Chien, Margaret Roberts, Berk Ustun

Dynamic learning systems subject to selective labeling exhibit censoring, i.e. persistent negative predictions assigned to one or more subgroups of points. In applications like con…

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…

cs.CL2021★ 10 cited

Censorship of Online Encyclopedias: Implications for NLP Models

Eddie Yang, Margaret E. Roberts

While artificial intelligence provides the backbone for many tools people use around the world, recent work has brought to attention that the algorithms powering AI are not free of…

cs.CY2019

On Constructing a Knowledge Base of Chinese Criminal Cases

Xiaohan Wu, Benjamin L. Liebman, Rachel E. Stern +2

We are developing a knowledge base over Chinese judicial decision documents to facilitate landscape analyses of Chinese Criminal Cases. We view judicial decision documents as a mix…

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…

cs.CY2016★ 57 cited

On the influence of social bots in online protests. Preliminary findings of a Mexican case study

Pablo Suárez-Serrato, Margaret E. Roberts, Clayton A. Davis +1

Social bots can affect online communication among humans. We study this phenomenon by focusing on #YaMeCanse, the most active protest hashtag in the history of Twitter in Mexico. A…