Abstract
With the exponential growth of Big Data and Artificial Intelligence (AI), large Language models have emerged as powerful tools in sociological research. As an advanced large Language model, ChatGPT has the unique ability to generate natural language dialogues, opening up new avenues for sociological research. This paper employs ChatGPT as a case study to explore the application potential of large Language models in sociological research, including social network analysis, sentiment analysis, opinion mining and social public opinion monitoring. Additionally, we discuss the various challenges encountered by large Language models in sociological research, such as privacy, ethical, interpretability and credibility issues. Finally, some recommendations to overcome these challenges and prospective research directions are provided.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Social Science, Humanities and Sustainability Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
