🚨 New in Big Data & Society 🚨 "Bridging silos or adding friction?" by Wouter Van Rossem & Annalisa Pelizza https://lnkd.in/gACuGdQ9 Explores how data work enables re-identification across interoperable systems, revealing hidden frictions in migration and government tech.
Big Data & Society (Sage Journals)
Education
Critical scholarship on the social, political, and cultural dimensions of big data.
About us
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 and how they are reconfiguring academic, social, industry, business and government relations, expertise, methods, concepts and knowledge. BD&S moves beyond usual notions of Big Data and treats it as an emerging field of practices that is not defined by but generative of (sometimes) novel data qualities such as high volume and granularity and complex analytics such as data linking and mining. It thus attends to digital content generated through online and offline practices in social, commercial, scientific, and government domains. This includes, for instance, content generated on the Internet through social media and search engines but also that which is generated in closed networks (commercial or government transactions) and open networks such as digital archives, open government and crowdsourced data. Critically, rather than settling on a definition the Journal makes this an object of interdisciplinary inquiries and debates explored through studies of a variety of topics and themes. BD&S seeks contributions that analyse Big Data practices and/or involve empirical engagements and experiments with innovative methods while also reflecting on the consequences for how societies are represented (epistemologies), realised (ontologies) and governed (politics).
- Website
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https://journals.sagepub.com/home/BDS
External link for Big Data & Society (Sage Journals)
- Industry
- Education
- Company size
- 1,001-5,000 employees
- Type
- Privately Held
- Founded
- 2014
Employees at Big Data & Society (Sage Journals)
Updates
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🚨 New in Big Data & Society 🚨 "Synthetic data as meaningful data. On Responsibility in data ecosystems" by Marianna Capasso https://lnkd.in/g5jEkEGk Argues for a justice-centered approach to synthetic data, reframing it as meaningful and relational within responsible AI ecosystems.
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🚨 New in Big Data & Society 🚨 "Trans data epistemologies: Transgender ways of knowing with data" by Nikko Stevens & Amelia Lee Doğan https://lnkd.in/ggAZ7Rfx Explores how trans activists use and reimagine data as care, community power, and resistance through a trans data epistemology.
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🚨 New in Big Data & Society 🚨 "Intelligent toys, complex questions" by Wei Xiao & Alexandre Gonçalves https://lnkd.in/getn_RjB Reviews AI toys for kids, revealing gaps between educational claims and research, and calls for ethical design and regulation.
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🚨 New in Big Data & Society 🚨 "Supportive but apprehensive: Ambivalent attitudes towards a Danish public health AI and surveillance-driven project" by Shaul A. Duke et al. https://lnkd.in/eWmNK5t7 Analyzes Danish public ambivalence toward health AI, revealing how trust, risk, and surveillance shape support for vaccine-monitoring tech.
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🚨 New in Big Data & Society 🚨 "Contesting data power at the margins" by Ngai Keung Chan et al. https://lnkd.in/gjzizhiZ Examines how Hong Kong activists use data imaginaries to challenge surveillance, develop counter-strategies, and mobilize under datafied control.
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🚨 New in Big Data & Society 🚨 "China as an analytical lens for AI and society" by Chuncheng Liu & Zhifan Luo https://lnkd.in/gPeNyp-t Offers a four-part framework using “China” to rethink AI, political economy, and global entanglements in critical AI studies.
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🚨 New in Big Data & Society 🚨 "The platformisation tree in China's AI data annotation ecosystem" by Bingqing Xia & Tongyu Wu https://lnkd.in/gb_HfaKR Uses the “platformisation tree” to examine how disability, precarity, and platform labor intersect in China's AI data annotation economy.
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🚨 New in Big Data & Society 🚨 "Cosine capital: Large language models and the embedding of all things" by Mikael Brunila https://lnkd.in/gDcHtufK Proposes “cosine capital” to describe how LLM embeddings commodify language and data, reshaping power, abstraction, and AI economies.
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🤖 AI Controversies: Democratic Debate — or Authoritarian Reinforcement? New in Big Data & Society “On the controversiality of AI: The controversy is not the situation” by Noortje Marres, Christian Katzenbach, Anders Kristian Munk, and Anna Jobin Public debates about AI are everywhere — from ethics panels to online outrage. But do these controversies actually shape how AI enters society, or do they serve other purposes? This Special Issue introduction argues that AI marks a turning point: rather than opening democratic spaces, AI controversies often reassert expert authority and obscure underlying societal tensions. 🧭 Key Contributions: The authors identify four ways AI controversies interact with real social situations: 1️⃣ Concealing the situation – Debate becomes spectacle, hiding structural issues. 2️⃣ Articulating the situation – Controversy gives voice to social concerns. 3️⃣ Situation articulates the controversy – Social realities drive the debate. 4️⃣ Mutual irrelevance – Hype and lived experience simply don’t meet. ⚠️ Central Question: Are AI controversies a force for democracy — or a stage for techno-scientific authority? This piece challenges us to rethink how we analyse AI debates, urging new methods that confront power, expertise, and public voice. 📖 Read here: https://lnkd.in/eGUgQuvP #AIControversy #TechGovernance #BigDataAndSociety #STS #AIethics
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