Publications

The Invisible Mentor: Inferring User Actions from Screen Recordings to Recommend Better Workflows
Litao Yan, Andrew Head, Ken Milne, Vu Le, Sumit Gulwani, Chris Parnin, Emerson Murphy-Hill
CHI 2026
What's Political on TikTok? Perceptions, Prevalence, and Patterns of Exposure to TikToks Users Perceive as Political
Jason Greenfield, Stephanie T. Wang, Samuel Jung, Sanjana Gautam, Kevin Yang, Danaé Metaxa
ICWSM 2026
Do Language Models Pass the Bechdel Test? Auditing Gender Biases in LLM-Generated Screenplays
Megha N. Govindu, Stephanie Wang, Sorelle Friedler, Danaé Metaxa
FAccT 2026
Auditing LLM Responses in a Complex Policy Landscape: Abortion Law in the United States
Ro Encarnación, Christen Hammock Jones, Danaé Metaxa
FAccT 2026
Everyday Auditing of TikTok's Generative AI Manga Filter
Ro Encarnación, Luis Morales-Navarro, Hita Kambhamettu, Danaé Metaxa
FAccT 2026
Answering Developer Questions with Annotated Agent-Discovered Program Traces
Litao Yan, Jeffrey Tao, Lydia B. Chilton, Andrew Head
UIST 2025
QED in Context: An Observation Study of Proof Assistant Users
Jessica Shi, Cassia Torczon, Harrison Goldstein, Benjamin C. Pierce, Andrew Head
OOPSLA 2025
FreeForm: Flexibly Augmenting Formulas with Synchronized Markup and Graphical Edits
Jeffrey Tao, Litao Yan, Jessica Shi, Mia Ginsberg, Andrew Head
CHI 2025
Generative AI and Perceptual Harms: Who's Suspected of Using LLMs?
Kowe Kadoma, Danaé Metaxa, Mor Naaman
CHI 2025
Navigating Automated Hiring: Perceptions, Strategy Use, and Outcomes Among Young Job Seekers
Lena Armstrong, Danaé Metaxa
CSCW 2025
Learning AI Auditing: A Case Study of Teenagers Auditing a Generative AI Model
Luis Morales-Navarro, Michelle A. Gan, Evelyn Yu, Lauren Vogelstein, Yasmin B. Kafai, Danaé Metaxa
CSCW 2025
Learning About Algorithm Auditing in Five Steps: Scaffolding How High School Youth Can Systematically and Critically Evaluate Machine Learning Applications
Luis Morales-Navarro, Yasmin B. Kafai, Lauren Vogelstein, Evelyn Yu, Danaé Metaxa
AAAI 2025
Youth as Advisors in Participatory Design: Situating Teens' Expertise in Everyday Algorithm Auditing with Teachers and Researchers
Daniel J. Noh, Deborah A. Fields, Luis Morales-Navarro, Alexis M. Cabrera-Sutch, Yasmin B. Kafai, Danaé Metaxa
IDC 2025
Auditing the Audits: Lessons for Algorithmic Accountability from Local Law 144's Bias Audits
Marissa Kumar Gerchick, Ro Encarnación, Cole Tanigawa-Lau, Lena Armstrong, Ana Gutiérrez, Danaé Metaxa
FAccT 2025
Identity-related Speech Suppression in Generative AI Content Moderation
Grace Proebsting, Oghenefejiro Isaacs Anigboro, Charlie M. Crawford, Danaé Metaxa, Sorelle A. Friedler
EAAMO 2025
Tyche: Making Sense of Property-Based Testing Effectiveness
Harrison Goldstein, Jeffrey Tao, Zac Hatfield-Dodds, Benjamin C. Pierce, Andrew Head
UIST 2024
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces
Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, et al.
CACM 2024
Ivie: Lightweight Anchored Explanations of Just-Generated Code
Litao Yan, Alyssa Hwang, Zhiyuan Wu, Andrew Head
CHI 2024
Explainable Notes: Examining How to Unlock Meaning in Medical Notes with Interactivity and Artificial Intelligence
Hita Kambhamettu, Danaé Metaxa, Kevin Johnson, Andrew Head
CHI 2024
Property-Based Testing in Practice
Harrison Goldstein, Joseph W. Cutler, Daniel Dickstein, Benjamin C. Pierce, Andrew Head
ICSE 2024
Lower Quantity, Higher Quality: Auditing News Content and User Perceptions on Twitter/X Algorithmic versus Chronological Timelines
Stephanie Wang, Shengchun Huang, Alvin Zhou, Danaé Metaxa
CSCW 2024
The Role of Inclusion, Control, and Ownership in Workplace AI-Mediated Communication
Kowe Kadoma, Marianne Aubin Le Quéré, Xiyu Jenny Fu, Christin Munsch, Danaé Metaxa, Mor Naaman
CHI 2024
Auditing GPT's Content Moderation Guardrails: Can ChatGPT Write Your Favorite TV Show?
Yaaseen Mahomed, Charlie M. Crawford, Sanjana Gautam, Sorelle A. Friedler, Danaé Metaxa
FAccT 2024
The Silicon Ceiling: Auditing GPT's Race and Gender Biases in Hiring
Lena Armstrong, Abbey Liu, Stephen MacNeil, Danaé Metaxa
EAAMO 2024
Youth as Peer Auditors: Engaging Teenagers with Algorithm Auditing of Machine Learning Applications
Luis Morales-Navarro, Yasmin B. Kafai, Vedya Konda, Danaé Metaxa
IDC 2024
FFL: A Language and Live Runtime for Styling and Labeling Typeset Math Formulas
Zhiyuan Wu, Jiening Li, Kevin Ma, Hita Kambhamettu, Andrew Head
UIST 2023
CALYPSO: LLMs as Dungeon Master's Assistants
Andrew Zhu, Lara Martin, Andrew Head, Chris Callison-Burch
AIIDE 2023
Rewriting the Script: Adapting Text Instructions for Voice Interaction
Alyssa Hwang, Natasha Oza, Chris Callison-Burch, Andrew Head
DIS 2023
Scim: Intelligent Skimming Support for Scientific Papers
Raymond Fok, Hita Kambhamettu, Luca Soldaini, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Andrew Head, Daniel S. Weld
IUI 2023
Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing
Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, Kyle Lo
TOCHI 2023
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context
Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld
CHI 2023
Colaroid: A Literate Programming Approach for Authoring Explorable Multi-Stage Tutorials
April Yi Wang, Andrew Head, Ashley Zhang, Steve Oney, Christopher Brooks
CHI 2023
Bolt-on, Compact, and Rapid Program Slicing for Notebooks
Shreya Shankar, Stephen Macke, Sarah Chasins, Andrew Head, Aditya Parameswaran
VLDB 2023
Sociotechnical Audits: Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising
Michelle S. Lam, Ayush Pandit, Colin H. Kalicki, Rachit Gupta, Poonam Sahoo, Danaé Metaxa
CSCW 2023
Representation, Self-Determination, and Refusal: Queer People's Experiences with Targeted Advertising
Princess Sampson, Ro Encarnación, Danaé Metaxa
FAccT 2023
Math Augmentation: How Authors Enhance the Readability of Formulas using Novel Visual Design Practices
Andrew Head, Amber Xie, Marti A. Hearst
CHI 2022
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks
Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head, Jiangjiang Yang, Matt Latzke, Aniket Kittur, Daniel S. Weld, Doug Downey, Jonathan Bragg
CHI 2022
End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior
Michelle S. Lam, Mitchell L. Gordon, Danaé Metaxa, Jeffrey T. Hancock, James A. Landay, Michael S. Bernstein
CSCW 2022
Fine-Grained Lineage for Safer Notebook Interactions
Stephen Macke, Hongpu Gong, Doris Jung-Lin Lee, Andrew Head, Doris Xin, Aditya Parameswaran
VLDB 2021
Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols
Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, Marti A. Hearst
CHI 2021
Auditing Algorithms: Understanding Algorithmic Systems from the Outside In
Danaé Metaxa, Joon Sung Park, Ronald E. Robertson, Karrie Karahalios, Christo Wilson, Jeff T. Hancock, Christian Sandvig
Foundations & Trends in HCI 2021
An Image of Society: Gender and Racial Representation and Impact in Image Search Results for Occupations
Danaé Metaxa, Michelle A. Gan, Su Goh, Jeff T. Hancock, James A. Landay
CSCW 2021
Composing Flexibly-Organized Step-by-Step Tutorials from Linked Source Code, Snippets, and Outputs
Andrew Head, Jason Jiang, James Smith, Marti A. Hearst, Björn Hartmann
CHI 2020