Treat me as your friend, not a number in your database: Co-designing with Children to Cope with Datafication Online

Abstract

Datafication refers to the practices through which children’s online actions are pervasively recorded, tracked, aggregated, analysed, and exploited by online services in ways including behavioural engineering and monetisation. Previous research has shown that not only do children care significantly about various aspects of datafication, but they demand a chance to take action. Through 10 co-design sessions with 53 children, we examined how children in the UK want to be supported to cope with the datafication practices. Our findings provide insights for creating age-appropriate support for children’s algorithmic literacy development, highlighting and unpacking the importance of no one-size-fitting-all designs to support children’s coping with datafication. We contribute a first understanding of how children aged 7–14 would like to be supported with datafication and what future data-driven digital experiences should be like for them, who demand a shift of the current data ecosystem towards a more humane-by-design and autonomy-supportive future.

Publication
In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Ge Wang
Ge Wang
DPhil (Ph.D.) student

I’m a Dphil student in the Department of Computer Science at University of Oxford. My research investigates the algorithmic impact on families and children, and what that means for their long-term development. I’m keen to explore the potential for designing more age-appropriate AI for families, as well as building more ethical web and data architecture for them. My research takes a human-centric approach, and focuses on understanding users' needs in order to design technological prototypes that are of real impact on today’s society.