Search Media and Elections: A Longitudinal Investigation of Political Search Results. - Danaë Metaxa; Joon Sung Park 001; James A. Landay; Jeffrey T. Hancock (Proc. ACM Hum. Comput. Interact., 2019)

A Slow Algorithm Improves Users' Assessments of the Algorithm's Accuracy. - Joon Sung Park 001; Rick Barber; Alex Kirlik; Karrie Karahalios (Proc. ACM Hum. Comput. Interact., 2019)

Random, Messy, Funny, Raw: Finstas as Intimate Reconfigurations of Social Media. - Sijia Xiao; Danaë Metaxa; Joon Sung Park 001; Karrie Karahalios; Niloufar Salehi (CHI, 2020)

Emotional Amplification During Live-Streaming: Evidence from Comments During and After News Events. - Mufan Luo; Tiffany W. Hsu; Joon Sung Park 001; Jeffrey T. Hancock (Proc. ACM Hum. Comput. Interact., 2020)

Understanding the Representation and Representativeness of Age in AI Data Sets. - Joon Sung Park 001; Michael S. Bernstein; Robin N. Brewer; Ece Kamar; Meredith Ringel Morris (AIES, 2021)

Mixed Abilities and Varied Experiences: a group autoethnography of a virtual summer internship. - Kelly Mack; Maitraye Das; Dhruv Jain; Danielle Bragg; John C. Tang; Andrew Begel; Erin Beneteau; Josh Urban Davis; Abraham Glasser; Joon Sung Park 001; Venkatesh Potluri (ASSETS, 2021)

"We Just Use What They Give Us": Understanding Passenger User Perspectives in Smart Homes. - Vinay Koshy; Joon Sung Park 001; Ti-Chung Cheng; Karrie Karahalios (CHI, 2021)

Designing an Online Infrastructure for Collecting AI Data From People With Disabilities. - Joon Sung Park 001; Danielle Bragg; Ece Kamar; Meredith Ringel Morris (FAccT, 2021)

Auditing Algorithms: Understanding Algorithmic Systems from the Outside In. - Danaë Metaxa; Joon Sung Park 001; Ronald E. Robertson; Karrie Karahalios; Christo Wilson; Jeff T. Hancock; Christian Sandvig (Found. Trends Hum. Comput. Interact., 2021)

Jury Learning: Integrating Dissenting Voices into Machine Learning Models. - Mitchell L. Gordon; Michelle S. Lam; Joon Sung Park 001; Kayur Patel; Jeffrey T. Hancock; Tatsunori Hashimoto; Michael S. Bernstein (CHI, 2022)

Social Simulacra: Creating Populated Prototypes for Social Computing Systems. - Joon Sung Park 001; Lindsay Popowski; Carrie J. Cai; Meredith Ringel Morris; Percy Liang; Michael S. Bernstein (UIST, 2022)

Power Dynamics and Value Conflicts in Designing and Maintaining Socio-Technical Algorithmic Processes. - Joon Sung Park 001; Karrie Karahalios; Niloufar Salehi; Motahhare Eslami (Proc. ACM Hum. Comput. Interact., 2022)

Measuring the Prevalence of Anti-Social Behavior in Online Communities. - Joon Sung Park 001; Joseph Seering; Michael S. Bernstein (Proc. ACM Hum. Comput. Interact., 2022)

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 001; Diyi Yang (CSCW Companion, 2023)

Holistic Evaluation of Text-to-Image Models. - Tony Lee; Michihiro Yasunaga; Chenlin Meng; Yifan Mai 001; Joon Sung Park 001; Agrim Gupta; Yunzhi Zhang; Deepak Narayanan; Hannah Teufel; Marco Bellagente; Minguk Kang; Taesung Park; et al. (NeurIPS, 2023)

Architecting Novel Interactions with Generative AI Models. - Michael S. Bernstein; Joon Sung Park 001; Meredith Ringel Morris; Saleema Amershi; Lydia B. Chilton; Mitchell L. Gordon (UIST (Adjunct Volume), 2023)

Generative Agents: Interactive Simulacra of Human Behavior. - Joon Sung Park 001; Joseph C. O'Brien; Carrie Jun Cai; Meredith Ringel Morris; Percy Liang; Michael S. Bernstein (UIST, 2023)

Evaluating Human-Language Model Interaction. - Mina Lee 002; Megha Srivastava; Amelia Hardy; John Thickstun; Esin Durmus; Ashwin Paranjape; Ines Gerard-Ursin; Xiang Lisa Li; Faisal Ladhak; Frieda Rong; Rose E. Wang; Minae Kwon; et al. (Trans. Mach. Learn. Res., 2023)

Working With AI to Persuade: Examining a Large Language Model's Ability to Generate Pro-Vaccination Messages. - Elise Karinshak; Sunny Xun Liu; Joon Sung Park 001; Jeffrey T. Hancock (Proc. ACM Hum. Comput. Interact., 2023)

Generative Agent Simulations of 1,000 People. - Joon Sung Park 001; Carolyn Q. Zou; Aaron Shaw; Benjamin Mako Hill; Carrie J. Cai; Meredith Ringel Morris; Robb Willer; Percy Liang; Michael S. Bernstein (CoRR, 2024)

Human Subjects Research in the Age of Generative AI: Opportunities and Challenges of Applying LLM-Simulated Data to HCI Studies. - Angel Hsing-Chi Hwang; Michael S. Bernstein; S. Shyam Sundar; Renwen Zhang; Manoel Horta Ribeiro; Yingdan Lu; Serina Chang; Tongshuang Wu; Aimei Yang; Dmitri Williams; Joon Sung Park 001; Katherine Ognyanova; et al. (CHI Extended Abstracts, 2025)

Finetuning LLMs for Human Behavior Prediction in Social Science Experiments. - Akaash Kolluri; Shengguang Wu; Joon Sung Park 001; Michael S. Bernstein (EMNLP, 2025)

Creating General User Models from Computer Use. - Omar Shaikh; Shardul Sapkota; Shan Rizvi; Eric Horvitz; Joon Sung Park 001; Diyi Yang; Michael S. Bernstein (UIST, 2025)