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The ethics of algorithms: Mapping the debate
The ethics of algorithms: Mapping the debate
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The ethics of algorithms: Mapping the debate

Mittelstadt, Brent Daniel ; Allo, Patrick ; Taddeo, Mariarosaria ; Wachter, Sandra ; Floridi, Luciano

Big data & society, 2016-12, Vol.3 (2), p.205395171667967 [Periódico revisado por pares]

London, England: SAGE Publications

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How the machine ‘thinks’: Understanding opacity in machine learning algorithms
How the machine ‘thinks’: Understanding opacity in machine learning algorithms
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How the machine ‘thinks’: Understanding opacity in machine learning algorithms

Burrell, Jenna

Big data & society, 2016-01, Vol.3 (1), p.205395171562251 [Periódico revisado por pares]

London, England: SAGE Publications

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3
Big Data, new epistemologies and paradigm shifts
Big Data, new epistemologies and paradigm shifts
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Big Data, new epistemologies and paradigm shifts

Kitchin, Rob

Big data & society, 2014-07, Vol.1 (1), p.205395171452848 [Periódico revisado por pares]

London, England: SAGE Publications

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4
Big Data in food and agriculture
Big Data in food and agriculture
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Big Data in food and agriculture

Bronson, Kelly ; Knezevic, Irena

Big data & society, 2016-06, Vol.3 (1), p.205395171664817 [Periódico revisado por pares]

London, England: SAGE Publications

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5
Where are human subjects in Big Data research? The emerging ethics divide
Where are human subjects in Big Data research? The emerging ethics divide
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Where are human subjects in Big Data research? The emerging ethics divide

Metcalf, Jacob ; Crawford, Kate

Big data & society, 2016-06, Vol.3 (1), p.205395171665021 [Periódico revisado por pares]

London, England: SAGE Publications

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6
Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns
Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns
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Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns

Felzmann, Heike ; Villaronga, Eduard Fosch ; Lutz, Christoph ; Tamò-Larrieux, Aurelia

Big data & society, 2019-06, Vol.6 (1), p.205395171986054 [Periódico revisado por pares]

London, England: SAGE Publications

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7
Extending the vehicular network simulator Artery in order to generate synthetic data for collective perception
Extending the vehicular network simulator Artery in order to generate synthetic data for collective perception
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Extending the vehicular network simulator Artery in order to generate synthetic data for collective perception

Allig, Christoph ; Wanielik, Gerd

Advances in radio science, 2019-09, Vol.17, p.189-196 [Periódico revisado por pares]

Katlenburg-Lindau: Copernicus GmbH

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8
Just good enough data: Figuring data citizenships through air pollution sensing and data stories
Just good enough data: Figuring data citizenships through air pollution sensing and data stories
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Just good enough data: Figuring data citizenships through air pollution sensing and data stories

Gabrys, Jennifer ; Pritchard, Helen ; Barratt, Benjamin

Big data & society, 2016-12, Vol.3 (2), p.205395171667967 [Periódico revisado por pares]

London, England: SAGE Publications

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9
From telecollaboration to virtual exchange: state-of-the‑art and the role of UNICollaboration in moving forward
From telecollaboration to virtual exchange: state-of-the‑art and the role of UNICollaboration in moving forward
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From telecollaboration to virtual exchange: state-of-the‑art and the role of UNICollaboration in moving forward

Robert O'Dowd

Journal of virtual exchange, 2018-04, Vol.1, p.1-23 [Periódico revisado por pares]

University of Groningen Press

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10
Different types of COVID-19 misinformation have different emotional valence on Twitter
Different types of COVID-19 misinformation have different emotional valence on Twitter
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Different types of COVID-19 misinformation have different emotional valence on Twitter

Charquero-Ballester, Marina ; Walter, Jessica G ; Nissen, Ida A ; Bechmann, Anja

Big data & society, 2021-07, Vol.8 (2), p.205395172110412 [Periódico revisado por pares]

London, England: SAGE Publications

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