Simone Zhang on Muck Rack

Simone Zhang

Washington, D.C.
As seen in: American Sociological Review, Nature, SAGE Publishing
Assistant Professor @NYUSociology. Forgets to cancel after the free trial.
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Articles

A reporting checklist for large language models in behavioural science

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By Stefan Feuerriegel, Christopher Barrie, M. J. Crockett, Laura K. Globig, Killian McLoughlin, Dan-Mircea Mirea, Arthur Spirling, Diyi Yang, Tim Althoff, Maria Antoniak, Lisa P. Argyle, Ashwini Ashokkumar, Mohammad Atari, Hannah Bailey, Kevin Bauer, Umang Bhatt, Yidong Chai, Tanmoy Chakraborty Verified, Yanto Chandra, Huimin Chen, Hal Daumé III, Gianmarco De Francisci Morales, Morteza Dehghani, Danica Dillion, Johannes C. Eichstaedt, Kerstin Förster, Dominique Geissler, Kurt Gray, Thomas L. Griffiths, Hartmann Jochen, Oliver Hauser, James He, Rahul Hemrajani, Felix Holzmeister, Angel Hsing-Chi Hwang, Tiancheng Hu, Anna Ivanova, Nils Köbis, Yara Kyrychenko, Himabindu Lakkaraju, Jia Liu, Abdurahman Maarouf, Sebastian Maier, Lennart Meincke, Rada Mihalcea, Brent Mittelstadt, Saif M. Mohammad, Mor Naaman, Oded Netzer, Alice Oh, Desmond C. Ong, Francesco Pierri, Barbara Plank, Iyad Rahwan, Talal Rahwan, Pooja Rao, Claire Robertson, David Rothschild, Matthew Salganik, Eric Schulz, Chirag Shah, Yash Shrestha, Ekaterina Shutova, Alexandra Siegel, Almog Simchon, Huan Sun, Malte Toetzke, Jay Van Bavel, Michelle Vaccaro, Jennifer Vaughan, Effy Vayena, Pedro O. S. Vaz-de-Melo, Briana Vecchione, Angelina Wang, Robert West, Robb Willer, Dirk U. Wulff, Renwen Zhang, Simone Zhang, Steve Rathje, Manoel Horta Ribeiro
| Nature Verified
Large language models offer new opportunities for behavioural science, but their rapid evolution poses challenges for research rigour. We introduce a consensus-based reporting checklist to improve transparency, reproducibility and ethical accountability of large-language-model-based research in the behavioural sciences. You have full access to this article via your institution.
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Generative AI Meets Open-Ended Survey Responses: Research Participant Use of AI and Homogenization

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By Simone Zhang, Janet Xu, AJ Alvero
| SAGE Publishing
Get full access to this article View all access and purchase options for this article. Data availability statement All replication data and code is available at https://osf.io/f7na8/ (Zhang et al. 2025). References Agnew William, Bergman A. Stevie, Chien Jennifer, Daz Mark, El-Sayed Seliem, Pittman Jaylen, Mohamed Shakir, McKee Kevin R. 2024. “The Illusion of Artificial Inclusion.” Pp. 1-12 in Proceedings of the CHI Conference on Human Factors in Computing Systems, arXiv:2401.08572 [cs]. Alvarez R.
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github.com/broadinstitute/depmap_omics/guide_mutation_binary_24q2

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By Simone Zhang
| zenodo.org
Published March 20, 2025 | Version 24Q2 Software Open # depmap_omics ![](documentation/depmap-logo_white.png) This repository contains code that processes data for the biannual [DepMap](https://www.depmap.org) data release. State of the pipeline for each release can be found under the "Releases" tab in this repo.
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