Sweet Data

Sweet Data was an interdisciplinary digital art-led approach to engage the public with algorithmic decision making.

This project discusses the development of an interactive artwork - Sweet Data - designed to encourage discussion around algorithmic decision making with audiences who have limited knowledge of the topic, regularly experience algorithmic decisions, and are typically excluded from the conversations concerning the subject.

It explores the understanding and attitudes of this audience towards algorithmic decision making and the wider personal data economy and notes which aspects of this feedback was used in the creation of Sweet Data. Finally, it uses secondary analysis of nationally representative surveys to support literature that stresses the importance of more specific definitions of “digital literacy”, provides evidence against the notion of omniscient “digital natives”, and notes correlations between the target audience and common demographics.

The full report on the project can be read here.