A Self-Supervised Adaptive Tuning Approach for Out-of-Distribution Social Media Bot Detection.
Yuxuan Song|Qiudan Li|Shu Wu|Zheng Xie|Daniel Dajun Zeng
| Anthology ID: | DBLP:conf/www/SongLWXZ25 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1312-1315 |
| URL: | https://doi.org/10.1145/3701716.3715495 |
| DOI: | https://doi.org/10.1145/3701716.3715495 |
| DBLP: | conf/www/SongLWXZ25 |
| BibTeX: |
@inproceedings{song-2025-selfsupervised,
author = {Yuxuan Song and
Qiudan Li and
Shu Wu and
Zheng Xie and
Daniel Dajun Zeng},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{A Self-Supervised Adaptive Tuning Approach for Out-of-Distribution Social Media Bot Detection}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {1312--1315},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3715495},
doi = {https://doi.org/10.1145/3701716.3715495}
}