• Corpus ID: 244714897

Proceedings of the CSCW 2021 Workshop - Investigating and Mitigating Biases in Crowdsourced Data

@article{Hettiachchi2021ProceedingsOT,
  title={Proceedings of the CSCW 2021 Workshop - Investigating and Mitigating Biases in Crowdsourced Data},
  author={Danula Hettiachchi and Mark Sanderson and Jorge Gonçalves and Simo Johannes Hosio and Gabriella Kazai and Matthew Lease and Mike Schaekermann and Emine Yilmaz},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.14322}
}
This volume contains the position papers presented at CSCW 2021 Workshop - Investigating and Mitigating Biases in Crowdsourced Data, held online on 23rd October 2021, at the 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2021). The workshop explored how specific crowdsourcing workflows, worker attributes, and work practices contribute to biases in data. The workshop also included discussions on research directions to mitigate labelling biases, particularly… 

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