Mudanças entre as edições de "2018"
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MAUCH, E. Sidnam. [[Counting the costs and projecting the future of numbering technologies]]. New Media & Society, 2018. | MAUCH, E. Sidnam. [[Counting the costs and projecting the future of numbering technologies]]. New Media & Society, 2018. | ||
Available: https://journals.sagepub.com/doi/pdf/10.1177/1461444818794504 | Available: https://journals.sagepub.com/doi/pdf/10.1177/1461444818794504 | ||
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| + | PAUDYAL, Pragya; WONG, BL William. [[Algorithmic opacity: making algorithmic processes transparent through abstraction hierarchy]]. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Sage CA: Los Angeles, CA: SAGE Publications, 2018. p. 192-196. | ||
Edição das 16h24min de 30 de novembro de 2018
ANDREWS, Leighton. Public administration, public leadership and the construction of public value in the age of the algorithm and ‘big data’. Public Administration, 2018.
FARRELL, Henry; SCHNEIER, Bruce. Common-Knowledge Attacks on Democracy. Berkman Klein Center Research Publication, n. 2018-7, 2018.
FERRARI, Isabela; BECKER, Daniel; WOLKART, Erik Navarro. Arbitrium ex machina: panorama, riscos, regulação das decisões informadas por algoritmos. Revista dos Tribunais | vol. 995/2018 | p. 635 - 655 | Set / 2018
FROSIO, Giancarlo, Why Keep a Dog and Bark Yourself? From Intermediary Liability to Responsibility (May 28, 2017). 26(1) Oxford International Journal of Law and Information Technology 1-33 (2018). Available at SSRN: https://ssrn.com/abstract=2976023 or http://dx.doi.org/10.2139/ssrn.2976023
GILLESPIE, Tarleton. A política das 'plataformas'. Nova mídia e sociedade , v. 12, n. 3, p. 347-364 , 2010. 780 de 6/2018
HANNAH-MOFFAT, Kelly. (2018). Algorithmic risk governance: Big data analytics, race and information activism in criminal justice debates. Theoretical Criminology. 136248061876358. 10.1177/1362480618763582.
HAZELWOOD, Kim et al. Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective. In: High Performance Computer Architecture (HPCA), 2018 IEEE International Symposium on. IEEE, 2018. p. 620-629.
LEWIS, Seth & KRISTIN, Sanders, AMY & CARMODY, Casey. (2018). Libel by Algorithm? Automated Journalism and the Threat of Legal Liability. Journalism & Mass Communication Quarterly. 107769901875598. 10.1177/1077699018755983.
MACCARTHY, Mark. The Politics of Machine-Learning Algorithms. May 3, 2018 Available: https://www.project-syndicate.org/commentary/algorithms-lead-to-chinese-style-communitarianism-by-mark-maccarthy-2018-05
MAUCH, E. Sidnam. Counting the costs and projecting the future of numbering technologies. New Media & Society, 2018. Available: https://journals.sagepub.com/doi/pdf/10.1177/1461444818794504
PAUDYAL, Pragya; WONG, BL William. Algorithmic opacity: making algorithmic processes transparent through abstraction hierarchy. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Sage CA: Los Angeles, CA: SAGE Publications, 2018. p. 192-196.
