Interpretable Fake News Detection with Graph Evidence.
Hao Guo|Weixin Zeng|Jiuyang Tang|Xiang Zhao
| Anthology ID: | DBLP:conf/cikm/GuoZT023 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 659-668 |
| URL: | https://doi.org/10.1145/3583780.3614936 |
| DOI: | https://doi.org/10.1145/3583780.3614936 |
| DBLP: | conf/cikm/GuoZT023 |
| BibTeX: |
@inproceedings{guo-2023-interpretable,
author = {Hao Guo and
Weixin Zeng and
Jiuyang Tang and
Xiang Zhao},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{Interpretable Fake News Detection with Graph Evidence}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {659--668},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614936},
doi = {https://doi.org/10.1145/3583780.3614936}
}