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                                       Details for article 14 of 22 found articles
 
 
  8–10% of algorithmic recommendations are ‘bad’, but… an exploratory risk-utility meta-analysis and its regulatory implications
 
 
Title: 8–10% of algorithmic recommendations are ‘bad’, but… an exploratory risk-utility meta-analysis and its regulatory implications
Author: Hilbert, Martin
Thakur, Arti
Flores, Pablo M.
Zhang, Xiaoya
Bhan, Jee Young
Bernhard, Patrick
Ji, Feng
Appeared in: International journal of information management
Paging: Volume 75 () nr. C pages p.
Year: 2024
Contents:
Publisher: The Authors
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 14 of 22 found articles
 
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