| Studying up machine learning data: Why talk about bias when we mean power? M Miceli, J Posada, T Yang Proceedings of the ACM on Human-Computer Interaction 6 (GROUP), 1-14, 2022 | 172 | 2022 |
| Between Subjectivity and Imposition: Power Dynamics in Data Annotation for Computer Vision M Miceli, M Schuessler, T Yang Proceedings of the ACM on Human-Computer Interaction 4 (CSCW2), 1-25, 2020 | 168 | 2020 |
| The Data-Production Dispositif M Miceli, J Posada arXiv preprint arXiv:2205.11963, 2022 | 132 | 2022 |
| Documenting computer vision datasets: an invitation to reflexive data practices M Miceli, T Yang, L Naudts, M Schuessler, D Serbanescu, A Hanna Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 110 | 2021 |
| The Exploited Labor Behind Artificial Intelligence A Williams, M Miceli, T Gebru Noema Magazine, 2022 | 73 | 2022 |
| Algorithmic tools in public employment services: Towards a jobseeker-centric perspective KM Scott, SM Wang, M Miceli, P Delobelle, K Sztandar-Sztanderska, ... Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 40 | 2022 |
| How data can be used against people: A classification of personal data misuses JL Kröger, M Miceli, F Müller Available at SSRN 3887097, 2021 | 35 | 2021 |
| Biased priorities, biased outcomes: three recommendations for ethics-oriented data annotation practices G Kazimzade, M Miceli Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 71-71, 2020 | 23 | 2020 |
| Investigating data work across domains: new perspectives on the work of creating data K Pine, C Bossen, N Holten Møller, M Miceli, AJ Lu, Y Chen, L Horgan, ... CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-6, 2022 | 15 | 2022 |
| Wisdom for the crowd: discoursive power in annotation instructions for computer vision M Miceli, J Posada arXiv preprint arXiv:2105.10990, 2021 | 15 | 2021 |
| Mobilizing social media data: Reflections of a researcher mediating between data and organization A Alvarado Garcia, M Wong-Villacres, M Miceli, B Hernández, ... Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 6 | 2023 |
| Labor, Automation, and Human–Machine Communication J Posada, G Newlands, M Miceli The SAGE Handbook of Human–Machine Communication, 2023 | 5 | 2023 |
| “We try to empower them”-Exploring Future Technologies to Support Migrant Jobseekers SM Wang, KM Scott, M Artemenko, M Miceli, B Berendt Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023 | 3 | 2023 |
| Time to Question if We Should: Data-Driven and Algorithmic Tools in Public Employment Services P Delobelle, KM Scott, SM Wang, M Miceli, D Hartmann, T Yang, ... Available from the authors per email request, 0 | 3* | |
| Who Trains the Data for European Artificial Intelligence? M Miceli, P Tubaro, AA Casilli, T Le Bonniec, CS Wagner, ... European Parliament; The Left, 2024 | 2 | 2024 |
| 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 … A Alvarado Garcia, I Feldfeber, M Miceli, S Mobayed, H Suárez Val CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1-6, 2022 | 2 | 2022 |
| Documenting Data Production Processes: A Participatory Approach for Data Work M Miceli, T Yang, A Alvarado Garcia, J Posada, SM Wang, M Pohl, ... Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2), 1-34, 2022 | 2* | 2022 |
| " Guilds" as Worker Empowerment and Control in a Chinese Data Work Platform T Yang, M Miceli Proceedings of the ACM on Human-Computer Interaction 8 (CSCW2), 1-27, 2024 | 1 | 2024 |
| Whose truth? Power, labor, and the production of ground-truth data M Miceli Technische Universität Berlin, 2022 | 1 | 2022 |
| The Making of Performative Accuracy in AI Training: Precision Labor and Its Consequences B Zhang, T Yang, M Miceli, O Haimson, M Thomas | | 2025 |
Julian PosadaYale UniversityVerificeret mail på yale.edu
