A Crowdsourcing Approach for Identifying Potential Stereotypes in the Collected Data
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61281-7_1
Reference27 articles.
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2. Barlas, P., Kyriakou, K., Kleanthous, S., Otterbacher, J.: Social b (eye) as: human and machine descriptions of people images. In: Proceedings of the International AAAI Conference on Web and Social Media, vol. 13, pp. 583–591 (2019)
3. Chrisler, J.C.: “Why can’t you control yourself?’’ Fat should be a feminist issue. Sex Roles 66(9–10), 608–616 (2012)
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5. Draws, T., Rieger, A., Inel, O., Gadiraju, U., Tintarev, N.: A checklist to combat cognitive biases in crowdsourcing. In: Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, vol. 9, pp. 48–59 (2021)
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