@inproceedings{f4fb298d2d5a45978c7bbec645b3fefc,
title = "Unravelling Online Public Jury and Fairness on Digital Platforms",
abstract = "Online Public Jury (OPJ) is an emerging approach to involve users in crowd decision- making on digital platforms. Distinct from conventional jury system, OPJ is supported by platform functionalities facilitating interactivity among jurors and transparency of case information, which in turn culminates in both benefits and challenges to the fairness of judgment. Based on a case study of a peer-to-peer medical insurance platform which has adopted OPJ for deciding on contested insurance claims, this study aims to explore how OPJ works and its effects on the fairness of collective judgment. Our preliminary analysis revealed four processes of OPJ (i.e., jury qualification, judgment requirement, jury deliberation, and voting decision). Additionally, eight jury principles were leveraged to analyze OPJ processes from a fairness angle. Insights from this study are expected to contribute to extant literature on the fairness of jury systems by unraveling the mechanism and fairness consequences of OPJ.",
keywords = "digital platforms, judgment fairness, jury principles, Online public jury",
author = "Xiao Zeng and Chaofan Yang and Bingqing Xiong and Zhao Cai and Chau, \{Patrick Y.K.\} and Lim, \{Eric T.K.\} and Tan, \{Chee Wee\}",
note = "Publisher Copyright: {\textcopyright} 2022, Association for Information Systems. All rights reserved.; 26th Pacific Asia Conference on Information Systems, PACIS 2022 ; Conference date: 05-07-2022 Through 09-07-2022",
year = "2022",
language = "English",
isbn = "9781958200018",
series = "Pacific Asia Conference on Information Systems",
publisher = "Association for Information Systems",
booktitle = "Pacific Asia Conference on Information Systems, PACIS 2022",
address = "United States",
}