We develop an approach to observe the algorithmically-tuned nature of digital advertising by creating visualisations of ad sequences from a citizen scientist data-donation project.
Research articles on INFORMATION & DATA
5G traffic insights: a regulator´s gateway to assess net neutrality.
Data cooperatives are a type of data intermediary using long established cooperative models and global regulatory affordances to manage data with or on behalf of members (data producers) for the benefit of members or for trade with external queriers (data users).
Data commons are more than data sharing arrangements. They bring up issues relating to the kind of communities they uphold, their relationships with third parties (such as other commons), data capitalism, and various dimensions of sustainability.
This article delves into the diverse and complex nature of conceptualising misinformation as an object of research.
This paper explores how four commonly proposed collective data intermediaries – data trusts, decentralised autonomous organisations, data cooperatives and data unions – have been envisioned and enacted by their proponents.
News media discourses on datafication and automation have become more sensitive to data risks, but their complexity is a challenge for informing lay audiences about root causes and solutions.
This article critically examines how three AI initiatives articulate corporate responsibility for human rights regarding long-term risks posed by smart city AI systems.
Smart cities need citizen participation, robust data protection, non-discrimination and AI governance to effectively address the challenges of ever-changing technologies, function creep and political apathy.
European smart city technology development suffers from one-sided inputs and high compliance costs. Due to this developers may look into markets with lower standards for human rights compliance.