# Gaps in large language model awareness, usage, and perceptions in the United States: Evidence from a nationally representative longitudinal survey

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/gaps-in-large-language-model-awareness-usage-and-perceptions-in-the-united/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Marco Angrisani,Maria Casanova,Nathanael J. Fast,Jimmy Narang,Juliana Schroeder |
| Citations | 3 |
| DOI | 10.1093/pnasnexus/pgag007 |
| Fields | Medicine,Social Sciences |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1093/pnasnexus/pgag007 |
| OpenAlex ID | https://openalex.org/W7125983258 |
| PMID | 41695147 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Marco Angrisani](https://scholariq.org/researchers/marco-angrisani/)
- [Nathanael J. Fast](https://scholariq.org/researchers/nathanael-j-fast/)
- [Maria Casanova](https://scholariq.org/researchers/maria-casanova/)
- [Jimmy Narang](https://scholariq.org/researchers/jimmy-narang/)
- [Juliana Schroeder](https://scholariq.org/researchers/juliana-schroeder/)

## Paper funders

- [National Institute on Aging](https://scholariq.org/funders/national-institute-on-aging/)

## Paper journal

- [PNAS Nexus](https://scholariq.org/journals/pnas-nexus/)

## Paper primary topic

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

## Paper topics

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Computational and Text Analysis Methods](https://scholariq.org/topics/computational-and-text-analysis-methods/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.