The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to Empower Data Producers
Fields with differences: unknown. Compare local vs external BibTeX below.
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Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency
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Local Entry
@inproceedings{vincent2023datalabor,
title = {The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to Empower Data Producers},
author = {Hanlin Li and Nicholas Vincent and Stevie Chancellor and Brent Hecht},
year = {2023},
booktitle = {Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency},
doi = {10.1145/3593013.3594070},
url = {https://dl.acm.org/doi/10.1145/3593013.3594070}
} From AUTO:OPENALEX
@inproceedings{vincent2023datalabor,
title = {The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to Empower Data Producers},
author = {Hanlin Li and Nicholas Vincent and Stevie Chancellor and Brent Hecht},
year = {2023},
doi = {10.1145/3593013.3594070}
}