| Frontiers in Political Science | |
| Large language models and political science | |
| Political Science | |
| Rafal Kocielnik1  Mitchell Linegar2  R. Michael Alvarez3  | |
| [1] Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA, United States;Division of Humanities and Social Science, California Institute of Technology, Pasadena, CA, United States;Division of Humanities and Social Science, California Institute of Technology, Pasadena, CA, United States;Center for Science, Society, and Public Policy, California Institute of Technology, Pasadena, CA, United States; | |
| 关键词: Large Language Models (LLM); ChatGPT; natural language processing; political science; political methodology; | |
| DOI : 10.3389/fpos.2023.1257092 | |
| received in 2023-07-11, accepted in 2023-09-25, 发布年份 2023 | |
| 来源: Frontiers | |
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【 摘 要 】
Large Language Models (LLMs) are a type of artificial intelligence that uses information from very large datasets to model the use of language and generate content. While LLMs like GPT-3 have been used widely in many applications, the recent public release of OpenAI's ChatGPT has opened more debate about the potential uses and abuses of LLMs. In this paper, we provide a brief introduction to LLMs and discuss their potential application in political science and political methodology. We use two examples of LLMs from our recent research to illustrate how LLMs open new areas of research. We conclude with a discussion of how researchers can use LLMs in their work, and issues that researchers need to be aware of regarding using LLMs in political science and political methodology.
【 授权许可】
Unknown
Copyright © 2023 Linegar, Kocielnik and Alvarez.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202311145259417ZK.pdf | 474KB |
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