Data Skeptic
LLMs in Social Science
Sep 4, 2023
Petter Törnberg, an Assistant Professor in Computational Social Science, discusses findings from his research papers on the performance of Chat GPT in interpreting political tweets, the ease of using language models in social science research, and the controversy surrounding large language models in social science.
34:20
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Quick takeaways
- Large language models, like Chat GPT, can outperform human experts and mechanical Turkers in annotating political Twitter messages, demonstrating their power in social science research.
- Computational social science combines computational methods with social scientific theory, aiming to not only predict human behavior but also interpret and critique it.
Deep dives
The Power and Potential of Large Language Models
Large language models, like Chat GPT, are being applied in various innovative ways across different fields. They have the ability to gather and analyze data for academic research, making it easier and more accessible. This raises questions about the necessity of human subjects in research. In an exploration of whether human experts, mechanical Turkers, or Chat GPT perform better in a specific test, Chat GPT actually outperformed both human experts and Turkers. This demonstrates the power and potential of large language models in social science research.
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