How Does the Crowd Impact the Model? A Tool for Raising Awareness of Social Bias in Crowdsourced Training Data.
Periklis Perikleous|Andreas Kafkalias|Zenonas Theodosiou|Pinar Barlas|Evgenia Christoforou|Jahna Otterbacher|Gianluca Demartini|Andreas Lanitis
| Anthology ID: | DBLP:conf/cikm/PerikleousKTBCO22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4951-4954 |
| URL: | https://doi.org/10.1145/3511808.3557178 |
| DOI: | https://doi.org/10.1145/3511808.3557178 |
| DBLP: | conf/cikm/PerikleousKTBCO22 |
| BibTeX: |
@inproceedings{perikleous-2022-crowd,
author = {Periklis Perikleous and
Andreas Kafkalias and
Zenonas Theodosiou and
Pinar Barlas and
Evgenia Christoforou and
Jahna Otterbacher and
Gianluca Demartini and
Andreas Lanitis},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{How Does the Crowd Impact the Model? A Tool for Raising Awareness of Social Bias in Crowdsourced Training Data}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {4951--4954},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557178},
doi = {https://doi.org/10.1145/3511808.3557178}
}