TrustScapes: A Visualisation Tool to Capture Stakeholders’ Concerns and Recommendations About Data Protection, Algorithmic Bias, and Online Safety

Ito-Jaeger, Sachiyo; Lane, Giles; Dowthwaite, Liz; Webb, Helena; Patel, Menisha; Rawsthorne, Mat; Portillo, Virginia; Jirotka, Marina; Perez Vallejos, Elvira

Abstract

This paper presents a new methodological approach, TrustScapes, an open access tool designed to identify and visualise stakeholders’ concerns and policy recommendations on data protection, algorithmic bias, and online safety for a fairer and more trustworthy online world. We first describe how the tool was co-created with young people and other stakeholders through a series of workshops. We then present two sets of TrustScapes focus groups to illustrate how the tool can be used, and the data analysed. The paper then provides the methodological insights, including the strengths of the TrustScapes and the lessons for future research using TrustScapes. A key strength of this method is that it allows people to visualise their ideas and thoughts on the worksheet, using the keywords and sketches provided. The flexibility in the mode of delivery is another strength of the TrustScapes method. The TrustScapes focus groups can be conducted in a relatively short time (1.5–2hours), either in person or online depending on the participants’ needs, geological locations, and practicality. Our experience with the TrustScapes offers some lessons (related to the data collection and analysis) for researchers who wish to use this method in the future. Finally, we describe how the outcomes from the TrustScapes focus groups should help to inform future policy decisions.

Citation

Ito-Jaeger, S., Lane, G., Dowthwaite, L., Webb, H., Patel, M., Rawsthorne, M., …Perez Vallejos, E. (2023). TrustScapes: A Visualisation Tool to Capture Stakeholders’ Concerns and Recommendations About Data Protection, Algorithmic Bias, and Online Safety. International Journal of Qualitative Methods, 22, https://doi.org/10.1177/16094069231186965

• Journal Article Type: Article
• Acceptance Date: Jun 22, 2023
• Online Publication Date: Jul 4, 2023
• Publication Date: Jul 4, 2023
• Deposit Date: Aug 8, 2023
• Publicly Available Date: Aug 11, 2023
• Journal: International Journal of Qualitative Methods
• Electronic ISSN: 1609-4069
• Publisher: SAGE Publications
• Peer Reviewed: Peer Reviewed
• Volume: 22
• DOI: https://doi.org/10.1177/16094069231186965
• Keywords: Trust; stakeholder engagement; co-creation; algorithmic bias; data protection; online safety; responsible research and innovation; patient and public involvement
• Public URL: https://nottingham-repository.worktribe.com/output/22433749
• Publisher URL: https://journals.sagepub.com/doi/10.1177/16094069231186965