Musashi Jacobs-Harukawa - Google Scholar

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Co-authors

Brandon M. StewartPrinceton UniversityVerified email at princeton.edu
Naoki EgamiColumbia UniversityVerified email at columbia.edu

Musashi Jacobs-Harukawa

Musashi Jacobs-Harukawa

Postdoctoral Research Associate, Princeton University

Verified email at princeton.edu - Homepage

computational social science natural language processing quantitative methodology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Does microtargeting work? evidence from an experiment during the 2020 united states presidential election M Jacobs-Harukawa Github, 2021	2	2021
Using Large Language Model Annotations for Valid Downstream Statistical Inference in Social Science: Design-Based Semi-Supervised Learning N Egami, M Jacobs-Harukawa, BM Stewart, H Wei arXiv preprint arXiv:2306.04746, 2023	1	2023
Do we still need BERT in the age of GPT? Comparing the benefits of domain-adaptation and in-context-learning approaches to using LLMs for Political Science Research M Bosley, M Jacobs-Harukawa, H Licht, A Hoyle	1	2023

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Articles 1–3