Unfair treatment by automated computational systems

This dataset describes the results from a prescreened survey of 663 participants describing their experiences with unfair treatment caused by automated computational systems. After cleaning, the dataset contains a list of 620 participant quotes and their demographics in an Excel spreadsheet. <br> The data describes experiences by users who are faced with automated decisions, strategies for harm reduction, and perceptions of fairness and discrimination. The data also includes questions on participants' self-perceived technical literacy, and several demographic questions. Participants have been anonymised. <br> Participants were recruited through research recruitment platform Prolific, and oversampled for "at-risk characteristics" (see paper). The data excludes 9 participants who failed at least one attention check, and 24 participants who did not finish the survey. <br> The DOI of the accompanying research paper is https://doi.org/10.1145/3555546. <br> The dataset can be shared on request for 12 months after the end of the study (30 June 2022) in accordance with participant consent and EPSRC guidelines.