Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation.
Bing He|Mustaque Ahamad|Srijan Kumar
| Anthology ID: | DBLP:conf/www/0002AK23 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2698-2709 |
| URL: | https://doi.org/10.1145/3543507.3583388 |
| DOI: | https://doi.org/10.1145/3543507.3583388 |
| DBLP: | conf/www/0002AK23 |
| BibTeX: |
@inproceedings{he-2023-reinforcement,
author = {Bing He and
Mustaque Ahamad and
Srijan Kumar},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {2698--2709},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583388},
doi = {https://doi.org/10.1145/3543507.3583388}
}