Unravelling Online Public Jury and Fairness on Digital Platforms

Xiao Zeng, Chaofan Yang, Bingqing Xiong, Zhao Cai, Patrick Chau, Eric T.K. Lim, Chee-Wee Tan

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


Online Public Jury (OPJ) is an emerging approach to involve users in crowd decisionmaking 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.
Original languageEnglish
Title of host publicationPACIS 2022 Proceedings
Number of pages9
Place of PublicationAtlanta, GA
PublisherAssociation for Information Systems. AIS Electronic Library (AISeL)
Publication date2022
Article number227
Publication statusPublished - 2022
EventThe 26th Pacific Asia Conference on Information Systems. PACIS 2022 - Virtual, WWW
Duration: 5 Jul 20229 Jul 2022
Conference number: 26


ConferenceThe 26th Pacific Asia Conference on Information Systems. PACIS 2022
Internet address


  • Online public jury
  • Judgement fairness
  • Jury principles
  • Digital platforms

Cite this