2016

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.

INTRONA, Lucas D. Algorithms, governance, and governmentality: On governing academic writing. Science, Technology, & Human Values, v. 41, n. 1, p. 17-49, 2016.

INTRONA, Lucas D..Algorithmic Cultures: essays on meaning, performance and new technologies. Seyfert, R. & Roberge, J. (eds.). Oxford: Routledge, p. 26-51 26 p. (Routledge Advances in Sociology). 4/10/2016

JANSSEN, Marijn; KUK, George. The challenges and limits of big data algorithms, in technocratic governance. 2016.

KITCHIN, R and McARDLE G. What makes Big Data, Big Data? Exploring the ontological characteristics of 26 datasets. Big Data and Society. Epub ahead of print 2016. DOI: 10.1177/2053951716631130.