Wikipedia Contributions in the Wake of ChatGPT
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2025
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866912255458672640 |
|---|---|
| author | Lyu, Liang Siderius, James Li, Hannah Acemoglu, Daron Huttenlocher, Daniel Ozdaglar, Asuman |
| author_facet | Lyu, Liang Siderius, James Li, Hannah Acemoglu, Daron Huttenlocher, Daniel Ozdaglar, Asuman |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_00757 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Wikipedia Contributions in the Wake of ChatGPT Lyu, Liang Siderius, James Li, Hannah Acemoglu, Daron Huttenlocher, Daniel Ozdaglar, Asuman Human-Computer Interaction Econometrics 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. |
| title | Wikipedia Contributions in the Wake of ChatGPT |
| topic | Human-Computer Interaction Econometrics |
| url | https://arxiv.org/abs/2503.00757 |