Feder, Amir, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, et al. 2022. “Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond”. Transactions of the Association for Computational Linguistics 10. Publisher’s Version: Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.

Grimmer, Justin, Margaret E. Roberts, and Brandon M. Stewart. 2022. Text As Data: A New Framework for Machine Learning and the Social Sciences. Princeton University Press. Publisher’s Version: Text as Data: A New Framework for Machine Learning and the Social Sciences.

Grimmer, Justin, Margaret E. Roberts, and Brandon M. Stewart. 2021. “Machine Learning for Social Science: An Agnostic Approach”. Annual Review of Political Science 24. Publisher’s Version: Machine Learning for Social Science: An Agnostic Approach.

Egami, Naoki, Christian J. Fong, Justin Grimmer, Margaret E. Roberts, and Brandon M. Stewart. 2022. “How to Make Causal Inferences Using Texts”. Science Advances 8 (42).

Roberts, Margaret E., Brandon M. Stewart, and Edoardo Airoldi. 2016. “A Model of Text for Experimentation in the Social Sciences”. Journal of the American Statistical Association 111 (515): 988-1003. Publisher’s Version: A model of text for experimentation in the social sciences.

Lucas, Christopher, Richard Nielsen, Margaret E. Roberts, Brandon M. Stewart, Alex Storer, and Dustin Tingley. 2015. “Computer Assisted Text Analysis for Comparative Politics.”. Political Analysis 23 (2): 254-77.

Roberts, Margaret E., Brandon M. Stewart, and Richard Nielsen. 2020. “Adjusting for Confounding With Text Matching”. American Journal of Political Science 64 (4): 887-903. Publisher’s Version: Adjusting for Confounding with Text Matching.