SELECTED 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.‡
  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.
  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.
  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.
  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.
  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.
  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.
  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.
  “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.
  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.
  “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. H., Lee, J., Zhang, S., Eslami, M.‡, Holstein, K.‡, Hong, J.I.‡, Li, T.‡, Shen, H.‡.
  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.
  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.
  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.
  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.‡.
  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.‡.
  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.
  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.
  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.‡.
  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.‡.
  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.
  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.
  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.
  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.
  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.
  “I Can’t Even Buy Apples If I Don't Use Mobile Pay?” When Mobile Payments Become Infrastructural in China.
  (CSCW 2020). [PDF]