References
Buolamwini, Joy, and Timnit Gebru. 2018. “Gender Shades:
Intersectional Accuracy Disparities in Commercial Gender
Classification.” In Proceedings of the 1st Conference on
Fairness, Accountability and Transparency, edited by Sorelle A.
Friedler and Christo Wilson, 81:77–91. Proceedings of Machine Learning
Research. PMLR. https://proceedings.mlr.press/v81/buolamwini18a.html.
Calacci, Dan, Jeffrey J. Shen, and Alex Pentland. 2022. “The Cop
in Your Neighbor’s Doorbell: Amazon Ring and the Spread of Participatory
Mass Surveillance.” Proc. ACM Hum.-Comput. Interact. 6
(CSCW2). https://doi.org/10.1145/3555125.
Cameron, Dell, and Dhruv Mehrota. 2019. “Ring’s Hidden Data Let Us
Map Amazon’s Sprawling Home Surveillance Network.”
Gizmodo, December. https://gizmodo.com/ring-s-hidden-data-let-us-map-amazons-sprawling-home-su-1840312279.
Garcia, David, Yonas Mitike Kassa, Angel Cuevas, Manuel Cebrian, Esteban
Moro, Iyad Rahwan, and Ruben Cuevas. 2018. “Analyzing gender inequality through large-scale Facebook
advertising data.” Proceedings of the National Academy
of Science 115 (27): 6958–63. https://doi.org/10.1073/pnas.1717781115.
Major, David, Ross Teixeira, and Jonathan Mayer. 2020. “No WAN’s
Land: Mapping u.s. Broadband Coverage with Millions of Address Queries
to ISPs.” In Proceedings of the ACM Internet Measurement
Conference, 393–419. IMC ’20. New York, NY, USA: Association for
Computing Machinery. https://doi.org/10.1145/3419394.3423652.
Sap, Maarten, Dallas Card, Saadia Gabriel, Yejin Choi, and Noah A.
Smith. 2019. “The Risk of Racial Bias in Hate Speech
Detection.” In Proceedings of the 57th Annual Meeting of the
Association for Computational Linguistics, 1668–78. Florence,
Italy: Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-1163.
Willis, Derek. 2013. “Freeing the Plum Book.”
Source, April. https://source.opennews.org/articles/freeing-plum-book/.