Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Abstract As large language models (LLMs) integrate into critical decision-making, their alignment with human values in high-stakes scenarios remains unclear. This study systematically investigates LLM behavioral consistency, focusing on cooperative intent, resource distribution, and moral reasoning, under simulated emergencies. We employed established psychological scales in two crisis scenarios: natural disaster resource allocation and crowd panic response.
Conflicts of Interest The authors declare no conflicts of interest. Supporting Information Filename Description risa70108-sup-0001-Appendix.docx148.6 KB Supporting Table A1: Profile of Respondents Supporting Table A2. Geographical Distribution of Sample Supporting Figure A1. Graph of the moderating effect of misinformation on the relationship between risk facts exposure frequency and county government trust Supporting Figure A2.
Loading metrics Open Access Peer-reviewed Research Article Jianhua Xu, Zongchao Peng Jianhua Xu, Zongchao Peng Published: December 14, 2015 https://doi.org/10.1371/journal.pone.0144868 Figures Abstract Influenza pandemics can severely impact human health and society. Understanding public perception and behavior toward influenza pandemics is important for minimizing the effects of such events.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
