TRuST-M: Evaluating User Trust and Explainability in LLM-Based Web Moderation Systems.
Kamalakkannan Ravi|Hemant Surale|Jiann-Shiun Yuan
| Anthology ID: | DBLP:conf/wsdm/RaviSY26 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM Companion 2026, Boise Centre, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 73-83 |
| URL: | https://doi.org/10.1145/3779211.3793172 |
| DOI: | https://doi.org/10.1145/3779211.3793172 |
| DBLP: | conf/wsdm/RaviSY26 |
| BibTeX: |
@inproceedings{ravi-2026-trustm,
author = {Kamalakkannan Ravi and
Hemant Surale and
Jiann-Shiun Yuan},
editor = {Edoardo Serra and
Francesca Spezzano and
Francesco Gullo},
title = {{TRuST-M: Evaluating User Trust and Explainability in LLM-Based Web Moderation Systems}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM Companion 2026, Boise Centre, Boise, ID, USA, February 22-26, 2026}},
pages = {73--83},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3779211.3793172},
doi = {https://doi.org/10.1145/3779211.3793172}
}