Simulating Climate Change Discussion with Large Language Models: Considerations for Science Communication at Scale-Reference-Cited by-同舟云学术

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Simulating Climate Change Discussion with Large Language Models: Considerations for Science Communication at Scale

Published:2024-07-09 Issue: Volume:30 Page:28-38
ISSN:
Container-title:Proceedings of the Eleventh ACM Conference on Learning @ Scale
language:
Short-container-title:

Author:

Nguyen Ha¹^ORCID,Nguyen Victoria²^ORCID,López-Fierro Saríah³^ORCID,Ludovise Sara⁴^ORCID,Santagata Rossella²^ORCID

Affiliation:

1. Utah State University, Logan, UT, USA

2. University of California, Irvine, Irvine, CA, USA

3. Utah State University, Logan, USA

4. Orange County Department of Education, Costa Mesa, California, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3657604.3662033

Reference75 articles.

1. Gati V Aher Rosa I Arriaga and Adam Tauman Kalai. 2023. Using large language models to simulate multiple humans and replicate human subject studies. PMLR 337--371.

2. Lisa P Argyle, Ethan C Busby, Nancy Fulda, Joshua R Gubler, Christopher Rytting, and David Wingate. 2023. Out of one, many: Using language models to simulate human samples. Political Analysis, Vol. 31, 3 (2023), 337--351. Publisher: Cambridge University Press.

3. Gender identity and lexical variation in social media

4. Liam F Beiser-McGrath and Robert A Huber. 2018. Assessing the relative importance of psychological and demographic factors for predicting climate and environmental attitudes. Climatic change , Vol. 149 (2018), 335--347. Publisher: Springer.

5. Adam J Berinsky. 2013. Silent voices: Public opinion and political participation in America. Princeton University Press.

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