Hong Shen
Orcid: 0000-0002-5364-3718Affiliations:
- Carnegie Mellon University, Pittsburgh, PA, USA
According to our database1,
Hong Shen
authored at least 44 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
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on dl.acm.org
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Bibliography
2025
CoRR, October, 2025
Exploring Opportunities to Support Novice Visual Artists' Inspiration and Ideation with Generative AI.
CoRR, September, 2025
Worker Discretion Advised: Co-designing Risk Disclosure in Crowdsourced Responsible AI (RAI) Content Work.
CoRR, September, 2025
The Digital Landscape of God: Narrative, Visuals and Viewer Engagement of Religious Videos on YouTube.
CoRR, September, 2025
AI Hasn't Fixed Teamwork, But It Shifted Collaborative Culture: A Longitudinal Study in a Project-Based Software Development Organization (2023-2025).
CoRR, September, 2025
Can GenAI Move from Individual Use to Collaborative Work? Experiences, Challenges, and Opportunities of Integrating GenAI into Collaborative Newsroom Routines.
CoRR, September, 2025
The Siren Song of LLMs: How Users Perceive and Respond to Dark Patterns in Large Language Models.
CoRR, September, 2025
Do Teachers Dream of GenAI Widening Educational (In)equality? Envisioning the Future of K-12 GenAI Education from Global Teachers' Perspectives.
CoRR, September, 2025
Bridging Cultural Distance Between Models Default and Local Classroom Demands: How Global Teachers Adopt GenAI to Support Everyday Teaching Practices.
CoRR, September, 2025
CoRR, June, 2025
Locating Risk: Task Designers and the Challenge of Risk Disclosure in RAI Content Work.
CoRR, May, 2025
A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents.
CoRR, May, 2025
Institutionalizing Folk Theories of Algorithms: How Multi-Channel Networks (MCNs) Govern Algorithmic Labor in Chinese Live-Streaming Industry.
CoRR, May, 2025
CoRR, April, 2025
Navigating Uncertainties: Understanding How GenAI Developers Document Their Models on Open-Source Platforms.
CoRR, March, 2025
AURA: Amplifying Understanding, Resilience, and Awareness for Responsible AI Content Work.
Proc. ACM Hum. Comput. Interact., 2025
"You're in a Ferrari. I'm Waiting for the Bus": Confronting Tensions in Community-University Partnerships.
Proc. ACM Hum. Comput. Interact., 2025
'I'm Categorizing LLM as a Productivity Tool': Examining Ethics of LLM Use in HCI Research Practices.
Proc. ACM Hum. Comput. Interact., 2025
Interactions, 2025
Proceedings of the 34th USENIX Security Symposium, 2025
POET: Supporting Prompting Creativity and Personalization with Automated Expansion of Text-to-Image Generation.
Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology, 2025
From Margins to the Table: Charting the Potential for Public Participatory Governance of Algorithmic Decision Making.
Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025
User-Driven Value Alignment: Understanding Users' Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions.
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
Minion: A Technology Probe for Resolving Value Conflicts through Expert-Driven and User-Driven Strategies in AI Companion Applications.
CoRR, 2024
PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals.
CoRR, 2024
Proceedings of the ACM on Web Conference 2024, 2024
AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024
PATIENT-ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
2023
Shaping the Emerging Norms of Using Large Language Models in Social Computing Research.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023
Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work together to Surface Algorithmic Harms?
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
2022
Understanding Practices, Challenges, and Opportunities for User-Driven Algorithm Auditing in Industry Practice.
CoRR, 2022
"Public(s)-in-the-Loop": Facilitating Deliberation of Algorithmic Decisions in Contentious Public Policy Domains.
CoRR, 2022
The Model Card Authoring Toolkit: Toward Community-centered, Deliberation-driven AI Design.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Toward User-Driven Algorithm Auditing: Investigating users' strategies for uncovering harmful algorithmic behavior.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
2021
Lean Privacy Review: Collecting Users' Privacy Concerns of Data Practices at a Low Cost.
ACM Trans. Comput. Hum. Interact., 2021
Everyday Algorithm Auditing: Understanding the Power of Everyday Users in Surfacing Harmful Algorithmic Behaviors.
Proc. ACM Hum. Comput. Interact., 2021
Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021
More Kawaii than a Real-Person Live Streamer: Understanding How the Otaku Community Engages with and Perceives Virtual YouTubers.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
2020
Designing Alternative Representations of Confusion Matrices to Support Non-Expert Public Understanding of Algorithm Performance.
Proc. ACM Hum. Comput. Interact., 2020
'I Can't Even Buy Apples If I Don't Use Mobile Pay?': When Mobile Payments Become Infrastructural in China.
Proc. ACM Hum. Comput. Interact., 2020