Evidence-aware Fake News Detection with Graph Neural Networks.
Weizhi Xu|Junfei Wu|Qiang Liu|Shu Wu|Liang Wang
| Anthology ID: | DBLP:conf/www/XuWLWW22 |
|---|---|
| Volume: | WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022 |
| Year: | 2022 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2501-2510 |
| URL: | https://doi.org/10.1145/3485447.3512122 |
| DOI: | https://doi.org/10.1145/3485447.3512122 |
| DBLP: | conf/www/XuWLWW22 |
| BibTeX: |
@inproceedings{xu-2022-evidenceaware,
author = {Weizhi Xu and
Junfei Wu and
Qiang Liu and
Shu Wu and
Liang Wang},
editor = {Fr\'{e}d\'{e}rique Laforest and
Rapha\"{e}l Troncy and
Elena Simperl and
Deepak Agarwal and
Aristides Gionis and
Ivan Herman and
Lionel M\'{e}dini},
title = {{Evidence-aware Fake News Detection with Graph Neural Networks}},
booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}},
pages = {2501--2510},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3485447.3512122},
doi = {https://doi.org/10.1145/3485447.3512122}
}