Recent Research (see more)
Is status persuasive in deliberation online? In a paper accepted to Management Science, we designed a quasi-experiment to quantify the causal impact of status with unstructured text as a control.
Does hiding status eliminate persuasive inequitability? In a paper recently accepted to Findings of the ACL: EMNLP 2022, we deployed a randomized field experiment on ChangeMyView to answer this question.
Can we uncover biases hidden in unstructured text? In a paper published in AAAI 2021, we propose an approach for this problem and apply it to study biases in the language of academic peer review.
How does one make causal inferences with unstructured text data? We survey this problem in a paper recently accepted to the Transactions of the Association for Computational Linguistics.
We are grateful for financial support from:
- American Family Data Science Institute
- Wisconsin Alumni Research Foundation
- Marketing Science Institute
- CMU Graduate Student Assembly
- CMU Office of the Provost
For queries & collaborations, email email@example.com.