Are you interested in how digital platforms such as Facebook or Twitter classify and profile you? Are you curious about why they recommend you certain products and not others? Have you been surprised by how Spotify or Amazon come to predict your tastes? Have you received strange or even nonsensical recommendations? Do you think digital platforms fail to capture your "true" identity?
We are studying all these questions in the research project "Algorithmic Identities: Issues and reactions to digital data collection and algorithmic inferences in everyday life", developed by researchers from Pontificia Universidad Católica de Chile and the University of Warwick.
We need your collaboration!
We developed a smartphone app - Big Sister - that creates profiles and recommendations similar to those that digital platforms make every day for their users. Through analyses of your social media accounts, this app will make inferences about your personality and recommend you songs that you might like based on the information collected. Some of these predictions and recommendations might be familiar, but some might surprise you.
To participate, we ask that you use Big Sister for two weeks and allow us to interview you about your experience. Our aim is to produce a better understanding of how identity is shaped and staged in a world that’s increasingly mediated by opaque digital technologies. We hope that this experience will give you a greater insight into how these kinds of apps work!
If you are interested in participating, we invite you to answer this short online questionnaire. We will contact you within a few weeks to explain how to download and test the Big Sister app!
Any questions? Please email Scott Wark: S.Wark@warwick.ac.uk