Understanding and Mitigating Worker Biases in Crowdsourced Collection of Subjective Judgments
C. Hube, B. Fetahu, and U. Gadiraju. Proceedings of the 37th Annual ACM Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, United Kingdom May 4-9, 2019, (2019)
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%0 Conference Paper
%1 chi2019
%A Hube, Christoph
%A Fetahu, Besnik
%A Gadiraju, Ujwal
%B Proceedings of the 37th Annual ACM Conference on Human Factors in Computing Systems, CHI 2019, Glasgow, United Kingdom May 4-9, 2019
%D 2019
%K bias crowdsourcing microtasks mitigation myown workers
%T Understanding and Mitigating Worker Biases in Crowdsourced Collection of Subjective Judgments
@inproceedings{chi2019,
added-at = {2018-12-19T12:16:30.000+0100},
author = {Hube, Christoph and Fetahu, Besnik and Gadiraju, Ujwal},
biburl = {https://www.bibsonomy.org/bibtex/225407441ae28bf274a6ad5b3f4ff06e9/ujwal},
booktitle = {Proceedings of the 37th Annual {ACM} Conference on Human Factors in Computing Systems, {CHI} 2019, Glasgow, United Kingdom May 4-9, 2019},
interhash = {af353aa29a682621baf8101c2f9815af},
intrahash = {25407441ae28bf274a6ad5b3f4ff06e9},
keywords = {bias crowdsourcing microtasks mitigation myown workers},
timestamp = {2019-01-03T15:01:20.000+0100},
title = {Understanding and Mitigating Worker Biases in Crowdsourced Collection of Subjective Judgments},
year = 2019
}