Does Exposure to Diverse Perspectives Mitigate Biases in Crowdwork? An Explorative Study

2020-10-09

Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 8

Volume

Vol. 8 (2020): Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing

Short Papers

Earlier research has shown the promise of enabling worker interactions in crowdwork to mitigate worker biases and improve the quality of crowdwork. In this study, we focus on one characteristic of the interacting workers that may influence the effectiveness of worker interactions in enhancing crowdwork—the diversity of perspectives that the interacting workers bring together—and we explore whether and how interactions between a set of workers holding different perspectives can help mitigate biases in crowdwork. Through two sets of randomized experiments, we find that whether interactions between workers with different perspectives can help mitigate biases in crowdwork depends on task properties. We also find no conclusive evidence in our experimental settings suggesting that interactions among workers with diverse perspectives reduce biases in crowdwork to a larger extent compared to interactions among workers with similar perspectives.

10.1609/hcomp.v8i1.7474