The future of large language models in social science research: Reply to Berger (2024) and Carrillo et al. (2024).

IF 12.3 1区心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY American Psychologist Pub Date : 2024-09-01 DOI:10.1037/amp0001287

Sachin Banker, Promothesh Chatterjee, Himanshu Mishra, Arul Mishra

引用次数: 0

Abstract

In their commentaries, Berger (2024) and Carrillo et al. (2024) raise several thoughtful questions regarding machine-assisted hypothesis generation in the social sciences. We discuss their ideas and build upon them. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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社会科学研究中大型语言模型的未来：回复 Berger (2024) 和 Carrillo 等人 (2024)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

American Psychologist PSYCHOLOGY, MULTIDISCIPLINARY-

CiteScore

18.50

自引率

1.20%

发文量

145

期刊介绍： Established in 1946, American Psychologist® is the flagship peer-reviewed scholarly journal of the American Psychological Association. It publishes high-impact papers of broad interest, including empirical reports, meta-analyses, and scholarly reviews, covering psychological science, practice, education, and policy. Articles often address issues of national and international significance within the field of psychology and its relationship to society. Published in an accessible style, contributions in American Psychologist are designed to be understood by both psychologists and the general public.

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