This automatically-generated file contains references from the main union bibliography that have been filtered for a single tag. Do not edit this file; instead, please update the main bibliography and tag references appropriately to have them show up here. Thank you!
The papers are listed in the same order as the main bibliography; e.g., by year of publication / release; then by surname / name of the first author.
- Pyatkin, V., Yung, F., Scholman, M. C., Tsarfaty, R., Dagan, I., and Demberg, V. (2023). Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design. Transaction of Association for Computational Linguistics (TACL '23). [paper]
- Alorwu, A., Savage, S., van Berkel, N., Ustalov, D., Drutsa, A., Oppenlaender, J., Bates, O., Hettiachchi, D., Gadiraju, U., Goncalves, J., and Hosio, S. (2022). REGROW: Reimagining Global Crowdsourcing for Better Human-AI Collaboration. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (CHI EA '22). Association for Computing Machinery, New York, NY, USA, Article 88, 1–7 [paper]
- Kreutzer, J., Caswell, I., Wang, L., Wahab, A., van Esch, D., Ulzii-Orshikh, N., ... & Adeyemi, M. (2021). Quality at a glance: An audit of web-crawled multilingual datasets.Transactions of the Association for Computational Linguistics, The MIT Press, 2022, 10, pp.50-72. [paper]
- Kummerfeld, J. K. (2021). Quantifying and Avoiding Unfair Qualification Labour in Crowdsourcing. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 343–349, Online. Association for Computational Linguistics. [paper]
- Shmueli, B., Fell, J., Ray, S., & Ku, L. W. (2021). Beyond fair pay: Ethical implications of NLP crowdsourcing. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 3758–3769, Online. Association for Computational Linguistics. [paper]
- Hara, K.; Adams, A.; Milland, K.; Savage, S.; Hanrahan, B. V.; Bigham, J. P. & Callison-Burch, C. Worker Demographics and Earnings on Amazon Mechanical Turk: An Exploratory Analysis Association for Computing Machinery, 2019, 1-6. [paper]
- Hara, K.; Adams, A.; Milland, K.; Savage, S.; Callison-Burch, C. & Bigham, J. P. A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk CHI 2018, 2018. [paper]
- Cohen, K. B.; Fort, K.; Adda, G.; Zhou, S. & Farri, D. Ethical Issues in Corpus Linguistics And Annotation: Pay Per Hit Does Not Affect Effective Hourly Rate For Linguistic Resource Development On Amazon Mechanical Turk ETHics In Corpus collection, Annotation and Application workshop, 2016. [paper]
- Callison-Burch, C. (2014, September). Crowd-workers: Aggregating information across turkers to help them find higher paying work. In Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (Vol. 2, No. 1). [paper]
- Fort K., Adda G., Sagot B., Mariani J., Couillault A.. Crowdsourcing for Language Resource Development: Criticisms About Amazon Mechanical Turk Overpowering Use. Vetulani, Zygmunt and Mariani, Joseph. Human Language Technology Challenges for Computer Science and Linguistics, 8387, Springer International Publishing, pp.303-314, 2014, Lecture Notes in Computer Science, 978-3-319-08957-7. [paper]
- Irani, L. C., & Silberman, M. S. (2013, April). Turkopticon: Interrupting worker invisibility in amazon mechanical turk. In Proceedings of the SIGCHI conference on human factors in computing systems (pp. 611-620). [paper]
- Bederson, B. B., & Quinn, A. J. (2011). Web workers unite! addressing challenges of online laborers. In CHI'11 Extended Abstracts on Human Factors in Computing Systems (pp. 97-106).
- Fort, K., Adda, G., & Cohen, K. B. (2011). Amazon Mechanical Turk: Gold mine or coal mine?. Computational Linguistics, 37(2), 413-420. doi:10.1162/COLI_a_00057 [paper]
- Adda, G. & Mariani, J. Language resources and Amazon Mechanical Turk: legal, ethical and other issues. Proceedings of Legal Issues for Sharing Language Resources workshop in International Conference on Language Resources and Evaluation (LREC), European Language Resources Association (ELRA), 2010. [paper]
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