'I Can't Even Buy Apples If I Don't Use Mobile Pay?': When Mobile Payments Become Infrastructural in China. - Hong Shen 004; Cori Faklaris; Haojian Jin; Laura Dabbish; Jason I. Hong (Proc. ACM Hum. Comput. Interact., 2020)

Designing Alternative Representations of Confusion Matrices to Support Non-Expert Public Understanding of Algorithm Performance. - Hong Shen 004; Haojian Jin; Ángel Alexander Cabrera; Adam Perer; Haiyi Zhu; Jason I. Hong (Proc. ACM Hum. Comput. Interact., 2020)

More Kawaii than a Real-Person Live Streamer: Understanding How the Otaku Community Engages with and Perceives Virtual YouTubers. - Zhicong Lu; Chenxinran Shen; Jiannan Li; Hong Shen 004; Daniel Wigdor (CHI, 2021)

Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation. - Hong Shen 004; Wesley H. Deng; Aditi Chattopadhyay; Zhiwei Steven Wu; Xu Wang 016; Haiyi Zhu (FAccT, 2021)

Everyday Algorithm Auditing: Understanding the Power of Everyday Users in Surfacing Harmful Algorithmic Behaviors. - Hong Shen 004; Alicia DeVos; Motahhare Eslami; Kenneth Holstein (Proc. ACM Hum. Comput. Interact., 2021)

Lean Privacy Review: Collecting Users' Privacy Concerns of Data Practices at a Low Cost. - Haojian Jin; Hong Shen 004; Mayank Jain; Swarun Kumar; Jason I. Hong (ACM Trans. Comput. Hum. Interact., 2021)

Toward User-Driven Algorithm Auditing: Investigating users' strategies for uncovering harmful algorithmic behavior. - Alicia DeVos; Aditi Dhabalia; Hong Shen 004; Kenneth Holstein; Motahhare Eslami (CHI, 2022)

The Model Card Authoring Toolkit: Toward Community-centered, Deliberation-driven AI Design. - Hong Shen 004; Leijie Wang; Wesley H. Deng; Ciell Brusse; Ronald Velgersdijk; Haiyi Zhu (FAccT, 2022)

"Public(s)-in-the-Loop": Facilitating Deliberation of Algorithmic Decisions in Contentious Public Policy Domains. - Hong Shen 004; Ángel Alexander Cabrera; Adam Perer; Jason I. Hong (CoRR, 2022)

Understanding Practices, Challenges, and Opportunities for User-Driven Algorithm Auditing in Industry Practice. - Wesley Hanwen Deng; Bill Boyuan Guo; Alicia DeVrio; Hong Shen 004; Motahhare Eslami; Kenneth Holstein (CoRR, 2022)

Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice. - Wesley Hanwen Deng; Bill Boyuan Guo; Alicia DeVrio; Hong Shen 004; Motahhare Eslami; Kenneth Holstein (CHI, 2023)

Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services. - Tzu-Sheng Kuo; Hong Shen 004; Jisoo Geum; Nev Jones; Jason I. Hong; Haiyi Zhu; Kenneth Holstein (CHI, 2023)

Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work together to Surface Algorithmic Harms? - Rena Li; Sara Kingsley; Chelsea Fan; Proteeti Sinha; Nora Wai; Jaimie Lee; Hong Shen 004; Motahhare Eslami; Jason I. Hong (CHI, 2023)

Shaping the Emerging Norms of Using Large Language Models in Social Computing Research. - Hong Shen 004; Tianshi Li 001; Toby Jia-Jun Li; Joon Sung Park; Diyi Yang (CSCW Companion, 2023)

The Public Algorithms Survey in Allegheny County. - Yu-Ru Lin; Beth Schwanke; Rosta Farzan; Bonnie Fan; Motahhare Eslami; Hong Shen 004; Sarah E. Fox (CoRR, 2023)

PATIENT-ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals. - Ruiyi Wang; Stephanie Milani; Jamie C. Chiu; Jiayin Zhi; Shaun M. Eack; Travis Labrum; Samuel M. Murphy; Nev Jones; Kate Hardy; Hong Shen 004; Fei Fang 001; Zhiyu Chen 002 (EMNLP, 2024)

AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services. - Ningjing Tang; Jiayin Zhi; Tzu-Sheng Kuo; Calla Kainaroi; Jeremy J. Northup; Kenneth Holstein; Haiyi Zhu; Hoda Heidari; Hong Shen 004 (FAccT, 2024)

Predicting and Presenting Task Difficulty for Crowdsourcing Food Rescue Platforms. - Zheyuan Ryan Shi; Jiayin Zhi; Siqi Zeng 001; Zhicheng Zhang; Ameesh Kapoor; Sean Hudson; Hong Shen 004; Fei Fang 001 (WWW, 2024)

PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals. - Ruiyi Wang; Stephanie Milani; Jamie C. Chiu; Shaun M. Eack; Travis Labrum; Samuel M. Murphy; Nev Jones; Kate Hardy; Hong Shen 004; Fei Fang 001; Zhiyu Zoey Chen (CoRR, 2024)

Minion: A Technology Probe for Resolving Value Conflicts through Expert-Driven and User-Driven Strategies in AI Companion Applications. - Xianzhe Fan; Qing Xiao 002; Xuhui Zhou; Yuran Su; Zhicong Lu; Maarten Sap; Hong Shen 004 (CoRR, 2024)

REALM: A Dataset of Real-World LLM Use Cases. - Jingwen Cheng; Kshitish Ghate; Wenyue Hua; William Yang Wang; Hong Shen 004; Fei Fang 001 (ACL (Findings), 2025)

User-Driven Value Alignment: Understanding Users' Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions. - Xianzhe Fan; Qing Xiao 002; Xuhui Zhou; Jiaxin Pei; Maarten Sap; Zhicong Lu; Hong Shen 004 (CHI, 2025)

From Margins to the Table: Charting the Potential for Public Participatory Governance of Algorithmic Decision Making. - Motahhare Eslami; Sarah E. Fox; Hong Shen 004; Bobbie Fan; Yu-Ru Lin; Rosta Farzan; Beth Schwanke (FAccT, 2025)

Effective Automation to Support the Human Infrastructure in AI Red Teaming. - Alice Qian Zhang; Jina Suh; Mary L. Gray; Hong Shen 004 (Interactions, 2025)

'I'm Categorizing LLM as a Productivity Tool': Examining Ethics of LLM Use in HCI Research Practices. - Shivani Kapania; Ruiyi Wang; Toby Jia-Jun Li; Tianshi Li 001; Hong Shen 004 (Proc. ACM Hum. Comput. Interact., 2025)

"You're in a Ferrari. I'm Waiting for the Bus": Confronting Tensions in Community-University Partnerships. - Cella Monet Sum; Jiayin Zhi; Amil N. T. Cook; Patrick James Cooper; Arturo Lozano; Tj Johnson; Jason Perez; Rayid Ghani; Michael Skirpan; Motahhare Eslami; Hong Shen 004; Sarah E. Fox (Proc. ACM Hum. Comput. Interact., 2025)

AURA: Amplifying Understanding, Resilience, and Awareness for Responsible AI Content Work. - Alice Qian Zhang; Judith Amores; Hong Shen 004; Mary Czerwinski; Mary L. Gray; Jina Suh (Proc. ACM Hum. Comput. Interact., 2025)

Navigating Uncertainties: Understanding How GenAI Developers Document Their Models on Open-Source Platforms. - Ningjing Tang; Megan Li; Amy A. Winecoff; Michael Madaio; Hoda Heidari; Hong Shen 004 (CoRR, 2025)

Rethinking Theory of Mind Benchmarks for LLMs: Towards A User-Centered Perspective. - Qiaosi Wang; Xuhui Zhou; Maarten Sap; Jodi Forlizzi; Hong Shen 004 (CoRR, 2025)

POET: Supporting Prompting Creativity and Personalization with Automated Expansion of Text-to-Image Generation. - Evans Xu Han; Alice Qian Zhang; Hong Shen 004; Haiyi Zhu; Paul Pu Liang; Jane Hsieh (CoRR, 2025)

Institutionalizing Folk Theories of Algorithms: How Multi-Channel Networks (MCNs) Govern Algorithmic Labor in Chinese Live-Streaming Industry. - Qing Xiao 002; Rongyi Chen; Jingjia Xiao; Tianyang Fu; Alice Qian Zhang; Xianzhe Fan; Bingbing Zhang; Zhicong Lu; Hong Shen 004 (CoRR, 2025)

A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents. - Megan Li; Wendy Bickersteth; Ningjing Tang; Jason I. Hong; Lorrie Cranor; Hong Shen 004; Hoda Heidari (CoRR, 2025)

Locating Risk: Task Designers and the Challenge of Risk Disclosure in RAI Content Work. - Alice Qian Zhang; Ryland Shaw; Laura Dabbish; Jina Suh; Hong Shen 004 (CoRR, 2025)

What Comes After Harm? Mapping Reparative Actions in AI through Justice Frameworks. - Sijia Xiao; Haodi Zou; Alice Qian Zhang; Deepak Kumar; Hong Shen 004; Jason I. Hong; Motahhare Eslami (CoRR, 2025)