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

本研究围绕政策执行场景下的算法决策流程，刻画了决策主体实现有效异议所需的信息与程序层面诉求。我们招募了21名拥有短租房源出租经验的受访者开展访谈。我们向其介绍了一款用于识别违规短租民宿的假想算法系统，并告知受访者其名下房源已被判定为违规短租民宿。访谈全程中，我们记录了受访者针对该算法决策及整体决策流程提出有效异议的各类诉求。本数据集包含以下内容：
1. 研究预注册方案
2. 筛选调查问卷
3. 访谈提纲
4. 访谈所用的提示语