Abstract
Definitive (and shortened) version published in Italian as a book chapter in "Per cosa lottare. Le frontiere del progressismo", edited by Enrico Biale and Corrado Fumagalli, Fondazione Giangiacomo Feltrinelli, Milano
Loi, Michele; Christen, Markus (2019). Big Data and the Morality of Inclusion. SSRN 3327281, University of Zurich.
Definitive (and shortened) version published in Italian as a book chapter in "Per cosa lottare. Le frontiere del progressismo", edited by Enrico Biale and Corrado Fumagalli, Fondazione Giangiacomo Feltrinelli, Milano
Definitive (and shortened) version published in Italian as a book chapter in "Per cosa lottare. Le frontiere del progressismo", edited by Enrico Biale and Corrado Fumagalli, Fondazione Giangiacomo Feltrinelli, Milano
Item Type: | Working Paper |
---|---|
Communities & Collections: | 04 Faculty of Medicine > Institute of Biomedical Ethics and History of Medicine
08 Research Priority Programs > Digital Society Initiative |
Dewey Decimal Classification: | 610 Medicine & health |
Language: | English |
Date: | 2019 |
Deposited On: | 08 Jan 2020 09:18 |
Last Modified: | 08 Jan 2020 09:18 |
Series Name: | SSRN |
ISSN: | 1556-5068 |
OA Status: | Green |
Free access at: | Official URL. An embargo period may apply. |
Official URL: | https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3327281 |
TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.