Wikipedia Contributions in the Wake of ChatGPT
Liang Lyu,
James Siderius,
Hannah Li,
Daron Acemoglu,
Daniel Huttenlocher and
Asuman Ozdaglar
Papers from arXiv.org
Abstract:
How has Wikipedia activity changed for articles with content similar to ChatGPT following its introduction? We estimate the impact using differences-in-differences models, with dissimilar Wikipedia articles as a baseline for comparison, to examine how changes in voluntary knowledge contributions and information-seeking behavior differ by article content. Our analysis reveals that newly created, popular articles whose content overlaps with ChatGPT 3.5 saw a greater decline in editing and viewership after the November 2022 launch of ChatGPT than dissimilar articles did. These findings indicate heterogeneous substitution effects, where users selectively engage less with existing platforms when AI provides comparable content. This points to potential uneven impacts on the future of human-driven online knowledge contributions.
Date: 2025-03
New Economics Papers: this item is included in nep-ain and nep-pay
References: Add references at CitEc
Citations:
Downloads: (external link)
http://arxiv.org/pdf/2503.00757 Latest version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2503.00757
Access Statistics for this paper
More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().