Data underlying the paper "Identifying Algorithmic Decision Subjects' Needs for Meaningful Contestability"

This project characterizes decision subjects' information and procedural needs for meaningful contestability in an algorithmic decision-making process for policy enforcement. We interviewed 21 participants with experience renting their properties out as short-term rentals. We introduced a hypothetical algorithmic system for identifying illegal holiday rentals and informed participants that their property had been identified as an illegal holiday rental. Throughout the interviews we captured their needs to meaningfully contest the algorithmic decision and the decision-making process as a whole. The dataset includes:<br>The pre-registration of the studyThe screening surveyThe interview protocolThe prompts used as part of the interviews

本研究针对政策执行场景下的算法决策流程，刻画了决策主体为实现实质可抗辩性所需的信息与程序诉求。我们招募了21名拥有短租房源出租经验的参与者开展访谈，首先向其介绍一款用于识别违规短租房源的假想算法系统，并告知参与者其名下房源被判定为违规短租房源。在整个访谈过程中，我们记录了参与者为对该算法决策及整体决策流程提出实质抗辩所需的各类诉求。本数据集涵盖以下内容：<br>研究预注册方案<br>筛选调查问卷<br>访谈方案<br>访谈所用提示语