Documentation, Informaiton & Knowledge ›› 2023, Vol. 40 ›› Issue (6): 6-9,30.doi: 10.13366/j.dik.2023.06.006

• Viewpoint and Perspective • Previous Articles     Next Articles

The Landscape of Social Science in the Era of Large Language Models

XIE Tian1, QIU Lin2, LI Yutong2, LUO Yin3, LIU Pan4   

  1. 1. Department of Psychology, Philosophy School, Wuhan University, Wuhan, 430072;
    2. School of Social Sciences, Nanyang Technological University, Singapore, 639798;
    3. Interdisciplinary Graduate School–Global Asia, Nanyang Technological University, Singapore, 639798;
    4.School of Public Administration, Hunan University, Changsha, 410082
  • Online:2023-11-10 Published:2023-12-10
  • Contact: Correspondence should be addressed to QIU Lin,Email: linqiu@ntu.edu.sg, ORCID:0000-0002-3587-5371
  • Supported by:
    This is an outcome of the Major Project "Constructing the 'Circle of Friends' in Global Media from the Perspective of Intercultural Communication"(22JJD860013)supported by Key Research Base for Humanities and Social Sciences of the Ministry of Education, and the project "Multidisciplinary Integration Platform for Cultural Evolution"(WHTUDKUZZJ202306)supported by a grant from the Joint Research Platform Seed Foundation Supporting Program of Wuhan University-Duke Kunshan University in 2023.

Abstract: Large language models(such as GPT)have brought unprecedented breakthroughs in the field of artificial intelligence. In this article, we briefly introduce large language models, and illustrate how such models have been applied in each stage of social science research, including literature review, theory formation, research design, data collection, and data analysis. We envision new research paradigms brought by large language models, and new challenges faced by social science researchers.

Keywords: Artificial Intelligence, Large language models, GPT(Generative Pretrained Transformer), Social science, Research methods, Research paradigm