40 citations · 48 across the 9 of their papers we have counts for
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cs.CL2024★ 2 cited
Keeping Humans in the Loop: Human-Centered Automated Annotation with Generative AI
Nicholas Pangakis, Samuel Wolken
Automated text annotation is a compelling use case for generative large language models (LLMs) in social media research. Recent work suggests that LLMs can achieve strong performan…
cs.CL2024★ 2 cited
Knowledge Distillation in Automated Annotation: Supervised Text Classification with LLM-Generated Training Labels
Nicholas Pangakis, Samuel Wolken
Computational social science (CSS) practitioners often rely on human-labeled data to fine-tune supervised text classifiers. We assess the potential for researchers to augment or re…