Accurate and Explainable Misinformation Detection: Too Good to be True?
| Anthology ID: | DBLP:conf/www/Gomez-Perez22 |
|---|---|
| Volume: | Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25 - 29, 2022 |
| Year: | 2022 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 426-427 |
| URL: | https://doi.org/10.1145/3487553.3526943 |
| DOI: | https://doi.org/10.1145/3487553.3526943 |
| DBLP: | conf/www/Gomez-Perez22 |
| BibTeX: |
@inproceedings{gomezperez-2022-accurate,
author = {Jos\'{e} Manu\'{e}l G\'{o}mez-P\'{e}rez},
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 = {{Accurate and Explainable Misinformation Detection: Too Good to be True?}},
booktitle = {{Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25 - 29, 2022}},
pages = {426--427},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3487553.3526943},
doi = {https://doi.org/10.1145/3487553.3526943}
}