Problems of bias and fairness are central to data justice, as they speak directly to the threat
that 'big data'and algorithmic decision-making may worsen already existing injustices. In the …

A recent normative turn in computer science has brought concerns about fairness, bias, and
accountability to the core of the field. Yet recent scholarship has warned that much of this …

Whatdoes it mean to live in adigital society? Does social media empower political activism?
How do we form and express our identity in a digital age? Do algorithms and search engine …

Discriminatory practices in recruitment and hiring are an ongoing issue that is a concern not
just for workplace relations, but also for wider understandings of economic justice and …

The widespread collection and use of data has been the subject of much public and
scholarly interest in recent years. Data justice has emerged as a significant framework for …

Data matter more than ever in the regulation of borders and migration. An apt illustration of
how movement is enabled or restricted by data collection and analytics was recently …

ABSTRACT A common recommendation in critiques of datafication in education is for
greater conversation between the two sides of the (critical) divide–what might be …

The mounting evidence of unintended harmful social consequences of automated
algorithmic decision-making (AADM), powered by AI and big data, in transformative services …

Targeted advertising can harm vulnerable groups when it targets individuals' personal and
psychological vulnerabilities. We focus on how targeted weight-loss advertisements harm …

This article examines converging trends in ageing, digitalisation and datafication in the
context of mobility and transport. While mobility data are increasingly captured by (public) …