Journal Description
Big Data & Society (BD&S) is an Open Access peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities and computing and their intersections with the arts and natural sciences about the implications of Big Data for societies. The Journal’s key purpose is to provide a space for connecting debates about the emerging field of Big Data practices … |
This journal is a member of the Committee on Publication Ethics (COPE).
Journal Feed
- by Guoning Zhao1364864Institute of Communication Studies, Communication University of China, Beijing, ChinaBig Data & Society, Volume 12, Issue 2, April-June 2025. This study examines the collective actions of Chinese netizens in contesting algorithm visibility through popularity-boosting comments. Employing a netnographic approach within the theoretical frameworks of algorithm resistance and folk theories, the …
- by Sebastian ColeDepartment of Media and Communication, 6305University of Oslo, Oslo, NorwayBig Data & Society, Volume 12, Issue 2, April-June 2025. In addition to personal and contextual reasons for listening to music, users of music streaming services also receive constant recommendations from these platforms’ algorithmic systems. In this article, I explore, from a critical realist perspective, how …
- by Siddharth Peter de Souza, Linnet TaylorBig Data & Society, Volume 12, Issue 2, April-June 2025. The establishment of norms among states is a common way of governing international actions. This article analyses the potential of norm-building for governing data and artificial intelligence technologies' collective effects. Rather than focusing on state …
- by Akaash Kolluri, Dhiraj Murthy, Kami VintonBig Data & Society, Volume 12, Issue 2, April-June 2025. Few studies characterize the diffusion of racist content on fringe social media platforms. We demonstrate how racism spread on Parler, a far right, un(der)-moderated social media platform, and that a single comment to a racist post increases the …
- by Joseph Donia1Institute of Health Policy, Management & Evaluation, Dalla Lana School of Public Health, 7938University of Toronto, Toronto, CanadaBig Data & Society, Volume 12, Issue 2, April-June 2025. The perceived importance and difficulty of accounting for algorithms in health systems continues to inform scholarship and practice across diverse fields. While accountability is often framed as a normative good, less clear is exactly what kind of …
- by Maria-Louise Clausen, Adam Moe Fejerskov, Sarah Seddig11298Danish Institute for International Studies, Copenhagen O, DenmarkBig Data & Society, Volume 12, Issue 2, April-June 2025. The integration of artificial intelligence, machine learning, and algorithms into development aid and relief efforts has brought datafication processes to the forefront of contemporary humanitarianism. This article contributes to critical studies of (big) …
- by Charlotte Knorr, Christian PentzoldBig Data & Society, Volume 12, Issue 2, April-June 2025. This article reconstructs the sociotechnical imaginaries of “Big Data” in Germany, South Africa, and the United States over 10 years. Our inquiry into the meaning-making undertaken on expansive datafication processes began from the observation that since …
- by Kjersti Aalbu, Susanne BauerBig Data & Society, Volume 12, Issue 2, April-June 2025. Data infrastructures are becoming increasingly central in “evidence-based” and “data-driven” policymaking at the international level, but the production and use of data in governance varies between different institutions and settings. This article …
- by Rafael GrohmannDepartment of Arts, Culture and Media & Faculty of Information, 7938University of Toronto, ON, CanadaBig Data & Society, Volume 12, Issue 2, April-June 2025. In recent years, critical data studies from the Global South have gained traction, generating debates on power, knowledge production, and the politics of data. While these discussions challenge universalist frameworks, they also risk essentializing the ‘…
- The ontological politics of synthetic data: Normalities, outliers, and intersectional hallucinationsby Francis Lee, Saghi Hajisharif, Ericka JohnsonBig Data & Society, Volume 12, Issue 2, April-June 2025. Synthetic data is increasingly used as a substitute for real data due to ethical, legal, and logistical reasons. However, the rise of synthetic data also raises critical questions about its entanglement with the politics of classification and the …