TOWARDS FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY IN PLATFORM GOVERNANCE
Author(s) -
Robert Gorwa
Publication year - 2020
Publication title -
aoir selected papers of internet research
Language(s) - English
Resource type - Journals
ISSN - 2162-3317
DOI - 10.5210/spir.v2018i0.10483
Subject(s) - accountability , transparency (behavior) , extant taxon , corporate governance , work (physics) , empirical research , political science , public relations , business , accounting , public administration , engineering , law , epistemology , mechanical engineering , philosophy , finance , evolutionary biology , biology
Drawing inspiration from recent work on Fairness, Accountability, and Transparency (FAT) in machine learning, this paper explores a similar research agenda for fairness, accountability, and transparency in platform governance. The paper seeks to make two contributions: (a) provide the initial provocation for what could be termed FAT-platform studies, and to (b) build on the extant platform governance literature (e.g Gillespie 2010, 2015, 2017; Denardis & Hackl, 2015) with an empirical, qualitative case study of Facebook policy practices.
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