Despite the growing consensus that stakeholders affected by AI systems should participate
in their design, enormous variation and implicit disagreements exist among current …

Recommendations are meant to increase sales or ad revenue, as these are the first priority
of those who pay for them. As recommender systems match their recommendations with …

There is a growing consensus in HCI and AI research that the design of AI systems needs to
engage and empower stakeholders who will be affected by AI. However, the manner in …

In the realm of data protection, a striking disconnect prevails between traditional domains of
doctrinal, legal, theoretical, and policy-based inquiries and a burgeoning body of empirical …

Drawing on archival research for a book-length history of Chinese media governance, this
essay presents a Chinese lineage of platform, or pingtai, in the fashion of Gillespie's famous …

Automated Influence is the use of Artificial Intelligence (AI) to collect, integrate, and analyse
people's data in order to deliver targeted interventions that shape their behaviour. We …

Providing a comprehensive, global overview of the digitalisation of education, the World
Yearbook of Education 2024 examines the ways advanced digital technologies are …

Why are unprofitable gig work platforms so highly valued? Recent scholarship argues that
gig platforms configure their data and computational infrastructure as financial assets, and …

A user's online action is often followed, around a second later, by ads being shown to
her/him. Much happens in that second, including near-instantaneous auctions (sometimes …

A broad current application of algorithms is in formal and quantitative measures of murky
concepts–like merit–to make decisions. When people strategically respond to these sorts of …