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 Benjamin Lipp, Stephen HilgartnerBig Data & Society, Volume 12, Issue 2, April-June 2025. This article examines emerging “smart” pain technologies in the United States. New wearable and implantable devices aim to partly remove human decision-making from pain management, delegating it to more or less closed feedback loops that capture signals …
- by Anna Helene Kvist Møller, Massimo AiroldiBig Data & Society, Volume 12, Issue 2, April-June 2025. This paper presents a practical guide to machine learning–assisted visual content analysis for social scientists. Combining machine automation with human expertise and reflexivity, the proposed methodological framework bridges the gap between computer …
- by Árni Már Einarsson, Jacob ØrmenDepartment of Communication, 4321University of Copenhagen, Copenhagen, DenmarkBig Data & Society, Volume 12, Issue 2, April-June 2025. Recommender systems are dynamic systems used across digital platforms that personalize curation based on the individuals’ history of interactions. News recommender systems (NRSs) can enhance personal relevance and loyalty while reducing the power laws of …
- by Xiaobo Shan, Yan Teng, Yixu Wang, Haiquan Zhao, Yingchun WangBig Data & Society, Volume 12, Issue 2, April-June 2025. In this paper, we investigate the political biases of large language models concerning collectivism and individualism through a combined analysis of their value judgments and factual assessments. We propose a two-step approach to evaluate the patterns of …
- by Katie Ryan, Max Kasun, Laura W Roberts, Jane Paik Kim1Department of Psychiatry and Behavioral Sciences, 10624Stanford University School of Medicine, Stanford, CA, USABig Data & Society, Volume 12, Issue 2, April-June 2025. Due to the potential scope and impact of artificial intelligence’s (AI's) adoption in medicine, a comprehensive assessment of the potential ethical considerations arising during clinical integration is needed. Existing ethical frameworks and principles …
- by Maximilian Heimstädt, Simon EgbertBig Data & Society, Volume 12, Issue 2, April-June 2025. Hopes and fears about algorithmic predictions are often rooted in the assumption that they represent a particularlyactionableform of knowledge. Algorithmic predictions, the story goes, turn historical data into anticipatory actions instantly and on a …
- by Tongyu Wu, James Muldoon, Bingqing XiaBig Data & Society, Volume 12, Issue 2, April-June 2025. As the two leading countries in the development of artificial intelligence (AI) systems, China and the United States largely rely on separate AI infrastructure and data annotation ecosystems. Studies have focussed almost exclusively on data annotation …
- by Di Di, Bryce NishikawaDepartment of Sociology, 7162Santa Clara University, Santa Clara, CA, USABig Data & Society, Volume 12, Issue 2, April-June 2025. Tech workers often experience ethical tensions arising from the misalignment of their values and the prevailing unethical or ethically ambiguous practices concerning data and algorithms in the workplace. Despite this, there is an insufficient …
- by Billie Lythberg, Rachel Maunganui Wolfgramm, Albert L. Refiti, Alan F. BlackwellBig Data & Society, Volume 12, Issue 2, April-June 2025. This paper addresses the problems of data colonialism from a standpoint that not only challenges the legitimacy of colonial economics but also the epistemological legitimacy of data as a raw material from which knowledge and knowledge systems might be …
- by Clemens Binder, Bruno Oliveira Martins, Lise Endregard HematBig Data & Society, Volume 12, Issue 2, April-June 2025. Big data-based governance requires both compatible modes of computing data and interoperable databases. While interoperability is often portrayed as a logical imperative, we understand it as socially co-produced within a political choice for algorithmic …
- by Reham Hosny, Mohamed A NasefBig Data & Society, Volume 12, Issue 2, April-June 2025. This study examines the lexical tactics of algorithmic resistance employed by Arab users to deceive Facebook content moderation algorithms in the case of censoring pro-Palestinian voices on Facebook, a phenomenon particularly conspicuous during the …
- by Hao Wang, Vincent BlokBig Data & Society, Volume 12, Issue 2, April-June 2025. Artificial intelligence (AI) ethics is undergoing a practical shift towards putting principles into design practices in developing responsible AI. While this practical turn is essential, this paper highlights its potential risk of overly focusing on …
- by Petter Törnberg, Ola Söderström, Jennifer Barella, Saskia Greyling, Sophie OldfieldBig Data & Society, Volume 12, Issue 2, April-June 2025. The emergence of the modern state was closely intertwined with the advent of statistics and demographic data. Today, we are witnessing the ascent of artificial intelligence as a new technology of governance. This article seeks to lay the groundwork for a …
- by Alessandra Renzi, Janna FrenzelCommunication Studies, 98607Concordia University, Montreal, CanadaBig Data & Society, Volume 12, Issue 2, April-June 2025. This article analyzes how universalist paradigms for platform urbanism are being adapted, modulated, and subverted through an evolving platform ecosystem that is specific to the city of Surabaya, Indonesia's second largest city. We examine how processes …
- by Paul Trauttmansdorff1TUM School of Social Sciences and Technology, Technical University of Munich, Munchen, Bayern, GermanyBig Data & Society, Volume 12, Issue 2, April-June 2025. Digital technologies and databases have repeatedly been associated with grand infrastructural promises in the European Union (EU)'s so-called management of borders and migration. Interoperability, i.e., the capacity to process traveler data across …
- by Claire M Segijn, Joanna Strycharz, Anna Turner, Suzanna J OpreeBig Data & Society, Volume 12, Issue 2, April-June 2025. Previous research has shown that internet users believe that electronic devices are listening to their offline conversations (i.e., e-eavesdropping) for commercial purposes. Such beliefs are important to study because they could shape media effects and …
- by Blair Attard-Frost, David Gray WidderBig Data & Society, Volume 12, Issue 2, April-June 2025. Researchers, practitioners, and policymakers with an interest in the ethics of artificial intelligence (AI) need more integrative approaches for studying and intervening in AI systems across many contexts and scales of activity. This paper presentsAI …
- by Can E Mutlu, Philippe M Frowd, Benjamin MullerBig Data & Society, Volume 12, Issue 2, April-June 2025. The intersection of migration, borders, and technology has been extensively studied in critical security studies, science and technology studies, law, and beyond. This article argues for closer attention to smartphone and other apps in the growing focus …
- by Matthew Archer, Louis Ravn, Nanna Bonde ThylstrupBig Data & Society, Volume 12, Issue 2, April-June 2025. Interoperability has become a prominent topic in contemporary discourses around digital infrastructures in fields as diverse as security, finance, health, and communication. Common to these discourses are two views: first, that interoperability …
- by Abdullah Hasan Safir, Sanjay SharmaBig Data & Society, Volume 12, Issue 2, April-June 2025. This article results from a cross-disciplinary study which unfolds the neocolonial nature of the application of AI technologies for climate action by examining the actors’ network and discourses around this global practice. The study demonstrates that …