Generalizing to the Future: Mitigating Entity Bias in Fake News Detection.
Yongchun Zhu|Qiang Sheng|Juan Cao|Shuokai Li|Danding Wang|Fuzhen Zhuang
| Anthology ID: | DBLP:conf/sigir/ZhuSCLWZ22 |
|---|---|
| Volume: | SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022 |
| Year: | 2022 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2120-2125 |
| URL: | https://doi.org/10.1145/3477495.3531816 |
| DOI: | https://doi.org/10.1145/3477495.3531816 |
| DBLP: | conf/sigir/ZhuSCLWZ22 |
| BibTeX: |
@inproceedings{zhu-2022-generalizing,
author = {Yongchun Zhu and
Qiang Sheng and
Juan Cao and
Shuokai Li and
Danding Wang and
Fuzhen Zhuang},
editor = {Enrique Amig\'{o} and
Pablo Castells and
Julio Gonzalo and
Ben Carterette and
J. Shane Culpepper and
Gabriella Kazai},
title = {{Generalizing to the Future: Mitigating Entity Bias in Fake News Detection}},
booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}},
pages = {2120--2125},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3477495.3531816},
doi = {https://doi.org/10.1145/3477495.3531816}
}