Machine-learning algorithms have become deeply embedded in contemporary society. As
such, ample attention has been paid to the contents, biases, and underlying assumptions of …

Thao Phan a, b, Jake Goldenfein a, c, Monique Mann d and Declan Kuch a, e aAustralian
Research Council Centre of Excellence on Automated Decision-Making & Society …

Against the backdrop of calls for greater platform transparency, this exploratory article
investigates Meta's 'Why Am I Seeing This Ad'(WAIST) feature, which is positioned as a …

The hyper-targeted advertising that emerged on digital platforms over the past two decades
is now more productively understood as tuned advertising, a dynamic and unfolding process …

Digital advertising's cultural surround is algorithmically tuned. The popular narrative about
digital advertising is that it is hyper-targeted and customized. In this article, we argue that …

The advertising ecosystem has been progressively reshaped by computational advertising
models facilitated and controlled by digital media platforms. Meta and Alphabet, two of the …

In this paper, we examine how generative artificial intelligence produces a new politics of
visual culture. We focus on DALL· E and related machine learning models as an emergent …

Scholarship on the history of political arithmetic highlights its significance for classical
liberalism, a political philosophy in which subjects perceive themselves as autonomous …

This report provides an overview of the Australian Ad Observatory project's data,
infrastructure, and software tools, and serves as a detailed technical companion to the …

In Nonhuman Witnessing Michael Richardson argues that a radical rethinking of what
counts as witnessing is central to building frameworks for justice in an era of endless war …