Debiasing Vandalism Detection Models at Wikidata

S. Heindorf, Y. Scholten, G. Engels, M. Potthast, in: Proceedings of the 2019 World Wide Web Conference (WWW ’19), ACM, San Francisco, USA, 2019.

Download
No fulltext has been uploaded.
Conference Paper | English
Author
; ; ;
Publishing Year
Proceedings Title
Proceedings of the 2019 World Wide Web Conference (WWW '19)
Conference
2019 World Wide Web Conference (WWW '19)
Conference Location
San Francisco, USA
Conference Date
2019-05-13 – 2015-05-17
LibreCat-ID

Cite this

Heindorf S, Scholten Y, Engels G, Potthast M. Debiasing Vandalism Detection Models at Wikidata. In: Proceedings of the 2019 World Wide Web Conference (WWW ’19). San Francisco, USA: ACM; 2019. doi:10.1145/3308558.3313507
Heindorf, S., Scholten, Y., Engels, G., & Potthast, M. (2019). Debiasing Vandalism Detection Models at Wikidata. In Proceedings of the 2019 World Wide Web Conference (WWW ’19). San Francisco, USA: ACM. https://doi.org/10.1145/3308558.3313507
@inproceedings{Heindorf_Scholten_Engels_Potthast_2019, place={San Francisco, USA}, title={Debiasing Vandalism Detection Models at Wikidata}, DOI={10.1145/3308558.3313507}, booktitle={Proceedings of the 2019 World Wide Web Conference (WWW ’19)}, publisher={ACM}, author={Heindorf, Stefan and Scholten, Yan and Engels, Gregor and Potthast, Martin}, year={2019} }
Heindorf, Stefan, Yan Scholten, Gregor Engels, and Martin Potthast. “Debiasing Vandalism Detection Models at Wikidata.” In Proceedings of the 2019 World Wide Web Conference (WWW ’19). San Francisco, USA: ACM, 2019. https://doi.org/10.1145/3308558.3313507.
S. Heindorf, Y. Scholten, G. Engels, and M. Potthast, “Debiasing Vandalism Detection Models at Wikidata,” in Proceedings of the 2019 World Wide Web Conference (WWW ’19), San Francisco, USA, 2019.
Heindorf, Stefan, et al. “Debiasing Vandalism Detection Models at Wikidata.” Proceedings of the 2019 World Wide Web Conference (WWW ’19), ACM, 2019, doi:10.1145/3308558.3313507.

Export

Marked Publications

Open Data LibreCat

Search this title in

Google Scholar