A Reporting Checklist for LLMs in Behavioural Science
Large language models (LLMs) offer new opportunities to study human behavior, yet their rapidly evolving nature poses challenges for research rigor. GUIDE-LLM provides a consensus-based reporting checklist to improve transparency, reproducibility, and ethical accountability across behavioral and social science research. In particular, GUIDE-LLM supports researchers in clearly describing how LLMs were used, why specific methodological choices were made, and what steps were taken to ensure responsible research practices.
article FBC+26
Nature Human Behaviour
Jun. 2026. To be published.
Authors
S. Feuerriegel • C. Barrie • M. J. Crockett • L. K. Globig • K. L. McLoughlin • D.-M. Mirea • A. Spirling • D. Yang • T. Althoff • M. Antoniak • L. P. Argyle • A. Ashokkumar • M. Atari • H. Bailey • K. Bauer • U. Bhatt • Y. Chai • T. Chakraborty • Y. Chandra • H. Chen • H. Daumé III • G. De Francisci Morales • M. Dehghani • D. Dillion • J. C. Eichstaedt • K. Forster • D. Geissler • K. Gray • T. L. Griffiths • J. Hartmann • O. P. Hauser • J. K. He • R. Hemrajani • F. Holzmeister • A. H.-C. Hwang • T. Hu • A. A. Ivanova • N. Köbis • Y. Kyrychenko • H. Lakkaraju • J. Liu • A. Maarouf • S. Maier • L. Meincke • R. Mihalcea • B. Mittelstadt • S. M. Mohammad • M. Naaman • O. Netzer • A. Oh • D. C. Ong • F. Pierri • B. Plank • I. Rahwan • T. Rahwan • P. S. B. Rao • C. E. Robertson • D. M. Rothschild • M. J. Salganik • E. Schulz • C. Shah • Y. R. Shrestha • E. Shutova • A. A. Siegel • A. Simchon • H. Sun • M. Toetzke • J. J. Van Bavel • M. Vaccaro • J. W. Vaughan • E. Vayena • P. O. S. Vaz-de-Melo • B. Vecchione • A. Wang • R. West • R. Willer • D. U. Wulff • R. Zhang • S. Zhang • S. Rathje • M. H. Ribeiro
Links
URL
Research Areas
A1 | Statistical Foundations & Explainability
B2 | Natural Language Processing
BibTeXKey: FBC+26