Mudanças entre as edições de "2016"
| Linha 10: | Linha 10: | ||
BURRELL, Jenna. [[How the machine ‘thinks’: Understanding opacity in machine learning algorithms]]. Big Data & Society, v. 3, n. 1, p. 2053951715622512, 2016. | BURRELL, Jenna. [[How the machine ‘thinks’: Understanding opacity in machine learning algorithms]]. Big Data & Society, v. 3, n. 1, p. 2053951715622512, 2016. | ||
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| + | CRAWFORD, Kate. [[Can an algorithm be agonistic? Ten scenes from life in calculated publics]]. Science, Technology, & Human Values, v. 41, n. 1, p. 77-92, 2016. | ||
Edição das 17h02min de 13 de novembro de 2018
ANANNY, M. (2016). Toward an Ethics of Algorithms: Convening, Observation, Probability, and Timeliness. Science Technology and Human Values, 41(1), 93–117
ARNOLDI, Jakob. Computer algorithms, market manipulation and the institutionalization of high frequency trading. Theory, Culture & Society, v. 33, n. 1, p. 29-52, 2016.
BELLANOVA, Rocco (2016) Digital, politics, and algorithms: Governing digital data through the lens of data protection, European Journal of Social Theory. DOI: 10.1177/1368431016679167: 1–19.
BILIC, Paško, Search algorithms, hidden labour and information control. Big Data & Society, 2016. DOI: https://doi.org/10.1177/2053951716652159.
BURRELL, Jenna. How the machine ‘thinks’: Understanding opacity in machine learning algorithms. Big Data & Society, v. 3, n. 1, p. 2053951715622512, 2016.
CRAWFORD, Kate. Can an algorithm be agonistic? Ten scenes from life in calculated publics. Science, Technology, & Human Values, v. 41, n. 1, p. 77-92, 2016.
