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Research case

ChatGPT vs. crowd workers for text annotation (Gilardi et al., PNAS 2023)

Political scientists compared zero-shot ChatGPT labels with MTurk crowd workers on tweet and news annotation tasks (relevance, stance, topics, frames).

What is reported

The paper reports ChatGPT beat crowd workers on accuracy for most tasks, at a fraction of the per-annotation cost.

Before you use it

Findings concern the tested English datasets and model configuration. Check against your own human-coded sample before scaling.

Sources and review

Original source ↗

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Checked the public abstract and bibliographic record. Results describe the authors' study, not a replication by this site.

Evidence / source record ↗

License and reuse

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