Kraut, R. E., Li, H., & Zhu, H. (2022). Mental health during the COVID-19 pandemic: Impacts of disease, social isolation, and financial stressors. PLOS ONE, 17(11), 1. http://doi.org/10.1371/journal.pone.0277562
Haiyi Zhu
Sun, L., Liu, Y., Joseph, G., Yu, Z., Zhu, H., & Dow, S. P. (2022). Comparing Experts and Novices for AI Data Work: Insights on Allocating Human Intelligence to Design a Conversational Agent. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 10(1), 12. http://doi.org/10.1609/hcomp.v10i1.21999
Fang, A., & Zhu, H. (2022). Matching for Peer Support: Exploring Algorithmic Matching for Online Mental Health Communities. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW2), 37. http://doi.org/10.1145/3555202
Yao, Z., Zhu, H., & Kraut, R. E. (2022). Learning to Become a Volunteer Counselor: Lessons from a Peer-to-Peer Mental Health Community. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW2), 24. http://doi.org/10.1145/3555200
Coston, A., Kawakami, A., Zhu, H., Holstein, K., & Heidari, H. (2023). A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms. In (p. 15). IEEE. http://doi.org/10.1109/SaTML54575.2023.00050
Fang, A., & Zhu, H. (2023). Measuring the Stigmatizing Effects of a Highly Publicized Event on Online Mental Health Discourse. In (p. 18). ACM. http://doi.org/10.1145/3544548.3581284
Kuo, T.-S., Shen, H., Geum, J., Jones, N., Hong, J. I., Zhu, H., & Holstein, K. (2023). Understanding Frontline Workers’ and Unhoused Individuals’ Perspectives on AI Used in Homeless Services. In (p. 17). ACM. http://doi.org/10.1145/3544548.3580882
Hsieh, J., Adisa, O., Bafna, S., & Zhu, H. (2023). Designing Individualized Policy and Technology Interventions to Improve Gig Work Conditions. In (p. 9). ACM. http://doi.org/10.1145/3596671.3598576
Hsieh, J., Karger, M., Zagal, L., & Zhu, H. (2023). Co-Designing Alternatives for the Future of Gig Worker Well-Being: Navigating Multi-Stakeholder Incentives and Preferences. In (p. 24). ACM. http://doi.org/10.1145/3563657.3595982
Hsieh, J., Kim, J., Dabbish, L., & Zhu, H. (2023). "Nip it in the Bud": Moderation Strategies in Open Source Software Projects and the Role of Bots. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW2), 29. http://doi.org/10.1145/3610092