Mudanças entre as edições de "2016"

De Governança Algoritmos
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DÖRR, Konstantin Nicholas. [[Mapping the field of algorithmic journalism]]. Digital journalism, 2016.
 
DÖRR, Konstantin Nicholas. [[Mapping the field of algorithmic journalism]]. Digital journalism, 2016.
  
D. TRIELLI, S. MUSSENDEN, J. STARK, N. DIAKOPOULOS. [[Googling Politics: How the Google issue guide on candidates is biased]]. Slate. June, 2016.  
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D. Trielli, S. MUSSENDEN, J. STARK, N. DIAKOPOULOS. [[Googling Politics: How the Google issue guide on candidates is biased]]. Slate. June, 2016.  
  
 
GOODMAN, Bryce; FLAXMAN, Seth. [[European Union regulations on algorithmic decision-making and a" right to explanation"]]. arXiv preprint arXiv:1606.08813, 2016.
 
GOODMAN, Bryce; FLAXMAN, Seth. [[European Union regulations on algorithmic decision-making and a" right to explanation"]]. arXiv preprint arXiv:1606.08813, 2016.
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JANSSEN, Marijn; KUK, George. [[The challenges and limits of big data algorithms in technocratic governance]]. 2016.
 
JANSSEN, Marijn; KUK, George. [[The challenges and limits of big data algorithms in technocratic governance]]. 2016.
  
J. STARK and N. DIAKOPOULOS. [[Uber seems to offer better service in areas with more white people. That raises some tough questions]]. Washington Post. March, 2016.
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J. Stark and N. DIAKOPOULOS. [[Uber seems to offer better service in areas with more white people. That raises some tough questions]]. Washington Post. March, 2016.
  
 
KITCHIN, R.; 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.
 
KITCHIN, R.; 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.
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NEYLAND D., MÖLLERS N.. [[Algorithmic IF … THEN rules and the conditions and consequences of power]]. Information, Communication & Society, 2016.
 
NEYLAND D., MÖLLERS N.. [[Algorithmic IF … THEN rules and the conditions and consequences of power]]. Information, Communication & Society, 2016.
  
N. DIAKOPOULOS. [[Accountability in Algorithmic Decision Making]]. Communications of the ACM (CACM). Feb. 2016.
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N. Diakopoulos. [[Accountability in Algorithmic Decision Making]]. Communications of the ACM (CACM). Feb. 2016.
  
N. DIAKOPOULOS and M. KOLISKA. [[Algorithmic Transparency in the News Media]]. Digital Journalism. 2016.
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N. Diakopoulos and M. Koliska. [[Algorithmic Transparency in the News Media]]. Digital Journalism. 2016.
  
 
O'NEIL, Cathy. [[Weapons of math destruction: How big data increases inequality and threatens democracy]]. Broadway Books, 2016.
 
O'NEIL, Cathy. [[Weapons of math destruction: How big data increases inequality and threatens democracy]]. Broadway Books, 2016.

Edição das 22h27min de 23 de junho de 2019


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.

BAROCAS, Solon; SELBST, Andrew D. Big data's disparate impact. Cal. L. Rev., v. 104, p. 671, 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.

DANAHER, John. The threat of algocracy: Reality, resistance and accommodation. Philosophy & Technology, v. 29, n. 3, p. 245-268, 2016. https://link.springer.com/content/pdf/10.1007%2Fs13347-015-0211-1.pdf

DONEDA, D.; ALMEIDA, V. A. F. What Is Algorithm Governance? IEEE Internet Computing, v. 20, n. 4, p. 60-63, jul.-ago. 2016.

DÖRR, Konstantin Nicholas. Mapping the field of algorithmic journalism. Digital journalism, 2016.

D. Trielli, S. MUSSENDEN, J. STARK, N. DIAKOPOULOS. Googling Politics: How the Google issue guide on candidates is biased. Slate. June, 2016.

GOODMAN, Bryce; FLAXMAN, Seth. European Union regulations on algorithmic decision-making and a" right to explanation". arXiv preprint arXiv:1606.08813, 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. (2016), The algorithmic choreography of the impressionable subject. in Seyfert, R.; Roberge j. (eds), Algorithmic Cultures: essays on meaning, performance and new technologies. Oxford: Routledge, pp. 26-51. (Routledge Advances in Sociology)

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

J. Stark and N. DIAKOPOULOS. Uber seems to offer better service in areas with more white people. That raises some tough questions. Washington Post. March, 2016.

KITCHIN, R.; 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.

LI, Shaoyong ; XIAO, Xingda; CAI, Ying; MA, Bingshan; HOU, Caiqin; HAN, Xilian. (2016). An algorithm to evaluate implementation cost for liveness-enforcing supervisors designed by deadlock prevention policy. Advances in Mechanical Engineering. 8. 10.1177/1687814016658388.

MERGEL, Ines; RETHEMEYER, R. Karl; ISETT, Kimberley. Big data in public affairs. Public Administration Review, v. 76, n. 6, p. 928-937, 2016.

MITTELSTADT, B.; FLORIDI, L. The ethics of Big Data: Current and foreseeable issues in biomedical contexts. Science and Engineering Ethics 22(2): 303–341, 2016.

NEYLAND D., MÖLLERS N.. Algorithmic IF … THEN rules and the conditions and consequences of power. Information, Communication & Society, 2016.

N. Diakopoulos. Accountability in Algorithmic Decision Making. Communications of the ACM (CACM). Feb. 2016.

N. Diakopoulos and M. Koliska. Algorithmic Transparency in the News Media. Digital Journalism. 2016.

O'NEIL, Cathy. Weapons of math destruction: How big data increases inequality and threatens democracy. Broadway Books, 2016.

REED, Laura; BOYD, Danah. Who Controls the Public Sphere in an Era of Algorithms?. 2016. New York: Data & Society, 2016.

REZAEI, Zadeh M., Hogan M., O’Reilly J., MURPHY, E. (2016). Core entrepreneurial competencies and their interdependencies: Insights from a study of Irish and Iranian entrepreneurs, university students and academics. International Entrepreneurship and Management Journal 13(1): 1–39.

ROUVROY, Antoinette; STIEGLER, Bernard. The digital regime of truth: From the algorithmic governmentality to a new rule of law. La Deleuziana: Online Journal of Philosophy, v. 3, p. 6-29, 2016. http://www.ladeleuziana.org/wp-content/uploads/2016/12/Rouvroy-Stiegler_eng.pdf

WAGNER, Ben. Algorithmic regulation and the global default: Shifting norms in Internet technology. Etikk i praksis-Nordic Journal of Applied Ethics, v. 10, n. 1, p. 5-13, 2016.

ZARSKY, T. The trouble with algorithmic decisions: An analytic road map to examine efficiency and fairness in automated and opaque decision making. Science, Technology, & Human Values, v. 41, n. 1, p. 118–132, 2016.

ZIEWITZ, Malte. Governing algorithms: Myth, mess, and methods. Science, Technology, & Human Values, v. 41, n. 1, p. 3-16, 2016.