Milagros Miceli

According to our database, Milagros Miceli authored at least 17 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

What Knowledge Do We Produce from Social Media Data and How?

Adriana Alvarado Garcia, Tianling Yang, Milagros Miceli

Proc. ACM Hum. Comput. Interact., 2025

Lost in Machine Translation: The Sociocultural Implications of Language Technologies in Nigeria.

Seyi Olojo, Janina Zakrzewski, Andrew Smart, Erin van Liemt, Milagros Miceli, Amber Ebinama, Lameck Mbangula Amugongo

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

The Making of Performative Accuracy in AI Training: Precision Labor and Its Consequences.

Ben Zefeng Zhang, Tianling Yang, Milagros Miceli, Oliver L. Haimson, Michaelanne Thomas

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

The Role of Expertise in Effectively Moderating Harmful Social Media Content.

Nuredin Ali Abdelkadir, Tianling Yang, Shivani Kapania, Meron Estefanos, Fasica Berhane Gebrekidan, Zecharias Zelalem, Messai Ali, Rishan Berhe, Dylan K. Baker, Zeerak Talat, Milagros Miceli, Alex Hanna, Timnit Gebru

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024

"Guilds" as Worker Empowerment and Control in a Chinese Data Work Platform.

Tianling Yang, Milagros Miceli

Proc. ACM Hum. Comput. Interact., 2024

2023

"We try to empower them" - Exploring Future Technologies to Support Migrant Jobseekers.

Sonja Mei Wang, Kristen M. Scott, Margarita Artemenko, Milagros Miceli, Bettina Berendt

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Mobilizing Social Media Data: Reflections of a Researcher Mediating between Data and Organization.

Adriana Alvarado Garcia, Marisol Wong-Villacres, Milagros Miceli, Benjamín Hernández, Christopher A. Le Dantec

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Documenting Data Production Processes: A Participatory Approach for Data Work.

Milagros Miceli, Tianling Yang, Adriana Alvarado Garcia, Julian Posada, Sonja Mei Wang, Marc Pohl, Alex Hanna

Proc. ACM Hum. Comput. Interact., 2022

Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?

Milagros Miceli, Julian Posada, Tianling Yang

Proc. ACM Hum. Comput. Interact., 2022

The Data-Production Dispositif.

Milagros Miceli, Julian Posada

Proc. ACM Hum. Comput. Interact., 2022

Algorithmic Tools in Public Employment Services: Towards a Jobseeker-Centric Perspective.

Kristen M. Scott, Sonja Mei Wang, Milagros Miceli, Pieter Delobelle, Karolina Sztandar-Sztanderska, Bettina Berendt

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Investigating Data Work Across Domains: New Perspectives on the Work of Creating Data.

Kathleen H. Pine, Claus Bossen, Naja L. Holten Møller, Milagros Miceli, Alex Jiahong Lu, Yunan Chen, Leah Horgan, Zhaoyuan Su, Gina Neff, Melissa Mazmanian

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Crossing Data: Building Bridges with Activist and Academic Practices from and for Latin America (Cruzar datos: Tendiendo Puentes con Prácticas Activistas y Académicas desde y para América Latina).

Adriana Alvarado Garcia, Ivana Feldfeber, Milagros Miceli, Saide Mobayed, Helena Suárez Val

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Wisdom for the Crowd: Discoursive Power in Annotation Instructions for Computer Vision.

Milagros Miceli, Julian Posada

CoRR, 2021

Documenting Computer Vision Datasets: An Invitation to Reflexive Data Practices.

Milagros Miceli, Tianling Yang, Laurens Naudts, Martin Schuessler, Diana Serbanescu, Alex Hanna

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision.

Milagros Miceli, Martin Schuessler, Tianling Yang

Proc. ACM Hum. Comput. Interact., 2020

Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices.

Gunay Kazimzade, Milagros Miceli

Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020