RECENT PUBLICATIONS

A complete list of my publications can be found on my Google Scholar page.

2025

• Li, M., Bickerstech, W., Tang, N., Hong, J., Cranor, L.*, Shen, H.*, Heidari, H*. (2025). A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents. AIES 2025. [PDF]

• Xiao, S., Zou, H., Zhang, A., Kumar, D., Shen, H., Hong, J., Eslami, M. (2025). What Comes After Harm? Mapping Reparative Actions in AI through Justice Frameworks. AIES 2025. [PDF]

• Han, E., Zhang, A., Zhu, H., Shen, H., Liang, P., Hsieh, J. (2025). POET: Supporting Prompting Creativity and Personalization with Automated Expansion of Text-to-Image Generation. UIST 2025. [PDF]

• Wu, Y., Zhang, R., Liu, S., He, M., Hong, A., Northup, J., Kainaroi, C., Fang, F., Shen, H. (2025). Navigating Security and Privacy Threats in Homeless Social Service Provision. USENIX Security 2025. [PDF]

• Cheng, J., Ghate, K., Hua, W., Wang, W., Shen, H., Fang, F. (2025). REALM: A Dataset of Real-World LLM Use Cases. ACL Findings 2025. [PDF]

• Eslami, M., Fox, S., Shen, H., Fan, B., Lin, Y-R., Farzan, R., Schwanke, B. (2025). From Margins to the Table: Charting the Potential for Public Participatory Governance of Algorithmic Decision Making. FAccT 2025. [PDF]

• Fan, X., Xiao, Q., Zhou, X., Pei, J., Sap, M., Lu, Z., Shen, H. (2025). User-Driven Value Alignment: Understanding Users’ Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions. CHI 2025. [PDF]

• Kapania, S.*, Wang, R.*, Li, T., Li, T., Shen, H. (2025). “I'm Categorizing LLM as a Productivity Tool”: Examining Ethics of LLM Use in HCI Research Practices. CSCW 2025. [PDF]

• Zhang, A., Amores, J., Shen, H., Czerwinski, M., Gray, M., Suh, J. (2025). AURA: Amplifying Understanding, Resilience, and Awareness for Responsible AI Content Work. CSCW 2025. [PDF]

• Sum, C., Zhi, J., Cook, A., Cooper, P., Lozano, A., Johnson, T.J., Perez, H., Ghani, R., Skirpan, M., Eslami, M., Shen, H., Fox, S. (2025). “You’re in a Ferrari. I’m Waiting for the Bus”: Confronting Tensions in Community-University Partnerships. CSCW 2025. [PDF]

2024

• Kingsley, S.*, Zhi, J.*, Deng, W., Lee, J., Zhang, S., Eslami, M.*, Holstein, K.*, Hong, J.I.*, Li, T.*, Shen, H.* (2024). Investigating What Factors Influence Users' Detection of Harmful Algorithmic Bias and Discrimination. HCOMP 2024. Best Paper Award 🏆 [PDF]

• Tang, N., Zhi, J., Kuo, T., Kainaroi, C., Northup, J., Holstein, K., Zhu, H., Heidari, H., Shen, H. (2024). AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services. FAccT 2024. [PDF]

• Wang, R.*, Milani, S.*, Chiu, J., Eack, S., Labrum, T., Murphy, S., Jones, N., Hardy, K., Shen, H., Fang, F., Chen, Z. (2024). PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals. EMNLP 2024. [PDF]

• Shi, R., Zhi, J., Zeng, S., Zhang, Z., Kapoor, A., Hudson, S., Shen, H., Fang, F. (2024). Predicting and Presenting Task Difficulty for Crowdsourcing Food Rescue Platforms. WWW 2024. [PDF]

2023

• Kuo, T.*, Shen, H.*, Geum, J. S., Jones, N., Hong, J.I., Zhu, H.*, Holstein, K.* (2023). Understanding Frontline Workers’ and Unhoused Populations’ Perspectives on AI Used in Homeless Services. CHI 2023. Best Paper Award 🏆 [PDF]

• Deng, W. H., Guo, B., DeVos, A., Shen, H., Eslami, M.*, Holstein, K.* (2023). Understanding Practices, Challenges, and Opportunities for User-driven Algorithm Auditing in Industry Practice. CHI 2023. [PDF]

• Li, R.*, Kingsley, S.*, Fan, C., Sinha, P., Wai, N., Lee, J., Shen, H., Eslami, M., Hong, J.I. (2023). Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work Together to Surface Algorithmic Harms? CHI 2023. [PDF]

2022

• Shen, H., Wang, L., Deng, W., Ciell, Velgersdijk, R., Zhu, H. (2022). The Model Card Authoring Toolkit: Toward Community-Centered, Deliberation-Driven AI Design. FAccT 2022. [PDF]

• DeVos, A., Dhabalia, A., Shen, H., Holstein, K.*, Eslami, M.* (2022). Towards User-Driven Algorithm Auditing: Investigating Users' Search and Sensemaking Strategies for Uncovering Harmful Algorithmic Behavior. CHI 2022. [PDF]

2021

• Shen, H.*, DeVos, A.*, Eslami, M., Holstein, K. (2021). Everyday Algorithm Auditing: Understanding the Power of Everyday Users in Surfacing Harmful Algorithmic Behaviors. CSCW 2021. [PDF]

• Jin, H., Shen, H., Jain, M., Kumar, S., Hong, J.I. (2021). Lean Privacy Review: Collecting Users’ Privacy Concerns of Data Practices at a Low Cost. TOCHI 2021. [PDF]

• Lu, Z., Shen, C., Li, J., Shen, H., Wigdor, D. (2021). More Kawaii Than a Real-Person Streamer: Understanding How Viewers Engage with and Perceive Virtual YouTubers. CHI 2021. [PDF]

• Shen, H., Deng, W., Chattopadhyay, A., Wu, S., Wang, X., Zhu, H. (2021). Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning Through Deliberation. FAccT 2021. [PDF]

2020

• Shen, H., Jin, H., Cabrera, A., Perer, A., Zhu, H., Hong, J.I. (2020). Designing Alternative Representations of Confusion Matrices to Support Non-Expert Public Understanding of Algorithm Performance. CSCW 2020. [PDF]

• Shen, H., Faklaris, C., Jin, H., Dabbish, L., Hong, J.I. (2020). “I Can’t Even Buy Apples If I Don't Use Mobile Pay?” When Mobile Payments Become Infrastructural in China. CSCW 2020. [PDF]