Airbnb Listing Puffery: Multi-City Inside Airbnb Data, ChatGPT Labels, and Analysis Code
Creators:
Thomas, Michael
Publication Date:
2026-04-21
Data Category:
Dataset Description:
| Important features / special characteristics: Large replication archive studying whether promotional puffery in Airbnb listing language affects outcomes. It includes original multi-city Inside Airbnb downloads, ChatGPT-generated assignment/classification outputs, and preparation/analysis code. Data size: 69.722 GB (69,721,605,344 bytes). Number of observations: Not reported in repository metadata. Temporal coverage: Not reported in repository metadata; coverage depends on the included Inside Airbnb city snapshots. Structure: 5 restricted files: a very large compressed city-data archive, two compressed ChatGPT-output archives, a compressed code archive, and a README. Classification note: ChatGPT-derived labels are synthetic/derived, but the underlying listing data are scraped empirical Airbnb records; the requested category is retained. |
Variables:
Details: