TRACE: A Scalable and Extensible Framework for Auditing YouTube's Recommendation Algorithm.
Quentin Dessain|Colin Timmers|Corentin Vande Kerckhove
| Anthology ID: | DBLP:conf/wsdm/DessainTK26 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1319-1322 |
| URL: | https://doi.org/10.1145/3773966.3779410 |
| DOI: | https://doi.org/10.1145/3773966.3779410 |
| DBLP: | conf/wsdm/DessainTK26 |
| BibTeX: |
@inproceedings{dessain-2026-trace,
author = {Quentin Dessain and
Colin Timmers and
Corentin Vande Kerckhove},
title = {{TRACE: A Scalable and Extensible Framework for Auditing YouTube's Recommendation Algorithm}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {1319--1322},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3779410},
doi = {https://doi.org/10.1145/3773966.3779410}
}