Does Evidence from Peers Help Crowd Workers in Assessing Truthfulness?
Jiechen Xu|Lei Han|Shaoyang Fan|Shazia Sadiq|Gianluca Demartini
| Anthology ID: | DBLP:conf/www/Xu0FSD22 |
|---|---|
| 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: | 302-306 |
| URL: | https://doi.org/10.1145/3487553.3524236 |
| DOI: | https://doi.org/10.1145/3487553.3524236 |
| DBLP: | conf/www/Xu0FSD22 |
| BibTeX: |
@inproceedings{xu-2022-evidence,
author = {Jiechen Xu and
Lei Han and
Shaoyang Fan and
Shazia Sadiq and
Gianluca Demartini},
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 = {{Does Evidence from Peers Help Crowd Workers in Assessing Truthfulness?}},
booktitle = {{Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25 - 29, 2022}},
pages = {302--306},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3487553.3524236},
doi = {https://doi.org/10.1145/3487553.3524236}
}