Title

Role of fairness, accountability, and transparency in algorithmic affordance

Author First name, Last name, Institution

Donghee Shin, Zayed University
Yong Jin Park, Howard University

Document Type

Article

Source of Publication

Computers in Human Behavior

Publication Date

9-1-2019

Abstract

© 2019 Elsevier Ltd As algorithm-based services increase, social topics such as fairness, transparency, and accountability (FAT) must be addressed. This study conceptualizes such issues and examines how they influence the use and adoption of algorithm services. In particular, we investigate how trust is related to such issues and how trust influences the user experience of algorithm services. A multi-mixed method was used by integrating interpretive methods and surveys. The overall results show the heuristic role of fairness, accountability, and transparency, regarding their fundamental links to trust. Despite the importance of algorithms, no single testable definition has been observed. We reconstructed the understandings of algorithm and its affordance with user perception, invariant properties, and contextuality. The study concludes by arguing that algorithmic affordance offers a distinctive perspective on the conceptualization of algorithmic process. Individuals’ perceptions of FAT and how they actually perceive them are important topics for further study.

ISSN

0747-5632

Publisher

Elsevier Ltd

Volume

98

First Page

277

Last Page

284

Disciplines

Social and Behavioral Sciences

Keywords

Accountability, Affordance, Algorithm acceptance, Algorithm experience, Algorithms, Perceived fairness, Perceived transparency

Scopus ID

85065764209

Indexed in Scopus

yes

Open Access

no

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