A Reporting Checklist for Large Language Models in Behavioural Science
MCML Authors
Abstract
Abstract
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.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. RibeiroLinks
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