Sotabase

Career

· Postdoctoral Fellow, Program on Democracy and the Internet, Stanford University2021–
· PhD in Computer Science, Stanford University2015–

Publications (30)

Auditing Algorithms: Understanding Algorithmic Systems from the Outside In
Found. Trends Hum. Comput. Interact. · 2021
146
cited
End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior
Proc. ACM Hum. Comput. Interact. · 2022
70
cited
Random, Messy, Funny, Raw: Finstas as Intimate Reconfigurations of Social Media
International Conference on Human Factors in Computing Systems · 2020
52
cited
An Image of Society
Proc. ACM Hum. Comput. Interact. · 2021
43
cited
The Silicon Ceiling: Auditing GPT’s Race and Gender Biases in Hiring
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization · 2024
43
cited
The Role of Inclusion, Control, and Ownership in Workplace AI-Mediated Communication
International Conference on Human Factors in Computing Systems · 2023
24
cited
Search Media and Elections
Proc. ACM Hum. Comput. Interact. · 2019
22
cited
Google's Role in Spreading Fake News and Misinformation
2017
20
cited
Auditing GPT's Content Moderation Guardrails: Can ChatGPT Write Your Favorite TV Show?
Conference on Fairness, Accountability and Transparency · 2024
18
cited
Youth as Peer Auditors: Engaging Teenagers with Algorithm Auditing of Machine Learning Applications
International Conference on Interaction Design and Children · 2024
17
cited
Explainable Notes: Examining How to Unlock Meaning in Medical Notes with Interactivity and Artificial Intelligence
International Conference on Human Factors in Computing Systems · 2024
16
cited
Representation, Self-Determination, and Refusal: Queer People’s Experiences with Targeted Advertising
Conference on Fairness, Accountability and Transparency · 2023
15
cited
Lower Quantity, Higher Quality: Auditing News Content and User Perceptions on Twitter/X Algorithmic versus Chronological Timelines
Proc. ACM Hum. Comput. Interact. · 2024
14
cited
Generative AI and Perceptual Harms: Who's Suspected of using LLMs?
International Conference on Human Factors in Computing Systems · 2024
10
cited
Supporting User Engagement in Testing, Auditing, and Contesting AI
CSCW Companion · 2023
8
cited
Learning About Algorithm Auditing in Five Steps: Scaffolding How High School Youth Can Systematically and Critically Evaluate Machine Learning Applications
AAAI Conference on Artificial Intelligence · 2024
6
cited
User-Centric Behavioral Tracking: Lessons from Three Case Studies with Do-It-Yourself Computational Pipelines
Journal of Advertising · 2024
4
cited
Navigating Automated Hiring: Perceptions, Strategy Use, and Outcomes Among Young Job Seekers
Proc. ACM Hum. Comput. Interact. · 2025
3
cited
Auditing the Audits: Lessons for Algorithmic Accountability from Local Law 144's Bias Audits
Conference on Fairness, Accountability and Transparency · 2025
2
cited
Rapid Testing, Duck Lips, and Tilted Cameras: Youth Everyday Algorithm Auditing Practices with Generative AI Filters
Proceedings (International Conference of the Learning Sciences) · 2025
2
cited
Sotabase
Danaë Metaxa | Researcher Profile | Sotabase | Sotabase