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 Arthur Charpentier, Xavier VamparysBig Data & Society, Volume 12, Issue 1, January-March 2025. In insurance, there is still a significant gap between the anticipated disruption, due to big data and machine learning algorithms, and the actual implementation of behaviour-based personalization, as described by Meyers (2018). Here, we identify eight …
- by Erik AardenDepartment of Society, Knowledge and Politics, 27256University of Klagenfurt, Klagenfurt/Celovec, AustriaBig Data & Society, Volume 12, Issue 1, January-March 2025. The European biobanking infrastructure BBMRI-ERIC was established in the context of European Union science policy to facilitate collaboration between European repositories of biological samples and associated data, or so-called biobanks. To allow the …
- by Xiaofang Yao, Anthony McCosker, Yong-Bin KangBig Data & Society, Volume 12, Issue 1, January-March 2025. This paper investigates open public data and data sharing reforms in Australia (2018–2022) and their potential role in deepening the ‘data divide’. In the contemporary datafied welfare state, open public data and data sharing are increasingly vexed issues …
- by Kean Birch, ‘Damola AdedijiBig Data & Society, Volume 12, Issue 1, January-March 2025. Many countries and jurisdictions are reforming their competition policies in response to growing political and public concerns about market concentration, especially when it comes to the market power of Big Tech firms. A particular concern is the new …
- by Louis RavnInstitute for Logic, Language and Computation, 1234University of Amsterdam, Amsterdam, NetherlandsBig Data & Society, Volume 12, Issue 1, January-March 2025. Synthetic data, denoting artificially produced data that are used for data science tasks, are increasingly held as a promising solution to digital societies’ predicaments. While burgeoning research has investigated the implications of synthetic data, the …
- by Shuaishuai WangSchool of Arts, Languages and Cultures, 5292The University of Manchester, Manchester, UKBig Data & Society, Volume 12, Issue 1, January-March 2025. Since 2020, Douyin, an app known for its interactive entertainment and vibrant youth cultures, has risen to dominance in the retail sector. Douyin stands out by making paid traffic a significant revenue stream alongside commissions. This strategy, which …
- by Graham M Jones, Shai Satran, Arvind SatyanarayanBig Data & Society, Volume 12, Issue 1, January-March 2025. This article proposes a new integration of linguistic anthropology and machine learning (ML) around convergent interests in both the underpinnings of language and making language technologies more socially responsible. While linguistic anthropology …
- by Glen Berman, Kate Williams, Eliel CohenBig Data & Society, Volume 12, Issue 1, January-March 2025. This article considers how the emerging Artificial Intelligence (AI) research field is constructed, primarily in university settings. AI research is a site of significant national funding, industry investment, and media interest. As such, for researchers …
- by Heikki Tyni, Olli Sotamaa, Taina Myöhänen17840Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, FinlandBig Data & Society, Volume 12, Issue 1, January-March 2025. The game industry's content production, maintenance of live games, and processes of acquiring production funding increasingly rely on various kinds of data and its rigorous analysis. These new needs and functions have generated emerging forms of work, …
- by Majsa Storbeck, Gabriele Jacobs, Marc Schuilenburg, Robin van den Akker16984Erasmus University, Rotterdam, NetherlandsBig Data & Society, Volume 12, Issue 1, January-March 2025. Recent years have witnessed an intensifying debate on the deployment of emerging surveillance technologies in protests. Often discussed in terms of “chilling effects”—where activists self-censor due to fear of surveillance repercussions—there's limited …
- by Juliane Jarke, Helen ManchesterBig Data & Society, Volume 12, Issue 1, January-March 2025. With this paper we join others in their call to resist and challenge regimes of anticipations that suggest our futures are inevitably linked to certain imaginaries about data-driven systems. The future is not simply happening but is made now – through …
- by Mónica Humeres, Dusan Cotoras, Renato Moretti, Iñaki Oyarzún-Merino, Teresa Correa, Claudia LópezBig Data & Society, Volume 12, Issue 1, January-March 2025. According to social studies of artificial intelligence (AI), public AI controversies tend to dissipate relatively quickly despite well-documented risks and harms. The reasons for this lack of controversiality are beginning to be studied. Drawing on the …