19 citations · 38 across the 4 of their papers we have counts for
4 papers
A Design-based Solution for Causal Inference with Text: Can a Language Model Be Too Large?
Graham Tierney, Srikar Katta, Christopher Bail +2
Many social science questions ask how linguistic properties causally affect an audience's attitudes and behaviors. Because text properties are often interlinked (e.g., angry review…
Towards global equity in political polarization research
Max Falkenberg, Matteo Cinelli, Alessandro Galeazzi +18
With a folk understanding that political polarization refers to socio-political divisions within a society, many have proclaimed that we are more divided than ever. In this account…
Simulating Social Media Using Large Language Models to Evaluate Alternative News Feed Algorithms
Petter Törnberg, Diliara Valeeva, Justus Uitermark +1
Social media is often criticized for amplifying toxic discourse and discouraging constructive conversations. But designing social media platforms to promote better conversations is…
REFORMS: Reporting Standards for Machine Learning Based Science
Sayash Kapoor, Emily Cantrell, Kenny Peng +16
Machine learning (ML) methods are proliferating in scientific research. However, the adoption of these methods has been accompanied by failures of validity, reproducibility, and ge…