Big Data & Society

✨ New in Big Data & Society ✨ “Algorithmic inequality by design: Human resistance and its limits in chatbot-based customer service” by @Guoning Zhao. 🔓: journals.sagepub.com/doi/10.1177/... #chatbot #criticalalgorithmstudies #algorithmicresistance

🚨 New in Big Data & Society 🚨 “Exploring relational farming futures for responsible innovation in precision agriculture through Q-method and speculative design” by @Bhavna Joshi and colleagues! 🔓: journals.sagepub.com/doi/10.1177/.... #Precisionagriculture #Q-method #speculativedesign

✨ New in Big Data & Society ✨ “Efficiency over democracy? AI and the discursive erasure of human involvement in HRM media” by Eva Lindell and Anna Launberg. 🔓: journals.sagepub.com/doi/10.1177/.... #AI #blackboxing #democracy

🚨 New in Big Data & Society 🚨 “Public say versus public sway: ‘Lived experience literacy’ in the pursuit of participatory AI” by @pjcreates.bsky.social, Stef Garasto, and Lara Groves. 🔓: journals.sagepub.com/doi/10.1177/.... #responsibleAI #participatoryAI #AIliteracy

🚨 New in Big Data & Society 🚨 “Reframing data activism: Towards a broader understanding of datafied social movements” by @juliettedavret.bsky.social, @danihynes.bsky.social, S. Mutter, and J. Somers Donnely. 🔓: journals.sagepub.com/doi/10.1177/... #dataactivism #datafiedsociety #socialmovements

✨ New in Big Data & Society ✨ “Digital passing: 'I died once, so I could live. Perhaps that is my real story'” by Beata Paragi. 🔓: journals.sagepub.com/doi/10.1177/... #digitalpassing #biometricrecognition #biometricsurveillance

🚨 New in Big Data & Society 🚨 “Vectorizing distinction: The mathematical logic of online profiling through a Bourdieusian lens” by Saban Contandriopoulos and Damien Contandriopoulos. 🔓: journals.sagepub.com/doi/10.1177/... #Bourdieu #sociologicaltheory #theoryoftaste

✨ New in Big Data & Society ✨ “Agents of erasure: Following the deletion of public sector data through its value chain” by @frederikschade.bsky.social. 🔓: journals.sagepub.com/doi/10.1177/... #personaldata #deletion #valuechain #publicadministration

🚨 New in Big Data & Society 🚨 “Transformation of the clinic: Data-driven pre-emption of diseases and the politics of health” by Niels Van Dijk and Katerina Sideri. 🔓: journals.sagepub.com/doi/full/10.... #predictivemedicine #precisionmedicine #remotepatientmonitoring

✨ New in BD&S ✨ “Generative AI, propaganda, and digital authoritarianism: Comparative insights from six democratically weakened countries” by Gabrielle D. Beacken, @ingakris.bsky.social, and Samuel C. Woolley. 🔓: journals.sagepub.com/doi/10.1177/.... #AI #propaganda #democraticweakening

📢 New in *Big Data & Society*: How do people think generative AI chatbots actually work? Li, Kim & Lou explore laypeople’s *folk theories* about tools like ChatGPT: journals.sagepub.com/doi/epub/10....

How is scientific knowledge infrastructure becoming platformized? Analyzing 976 NSF-funded data management plans (2011–2021), Acker, Struett, Tian & Finn trace a shift from open-source preservation toward corporate-owned platforms and cloud services: journals.sagepub.com/doi/epdf/10....

📢 New in *Big Data & Society*: How does environmental data shape activism in contexts where resistance is not always openly confrontational? Yu Sun examines NGO-led environmental data practices in China: journals.sagepub.com/doi/epub/10....

New in Big Data & Society: David Beer & Benjamin N. Jacobsen show how “distillation” is not just technical—it’s reframing what counts as reasoning in AI. With DeepSeek-R1, this points to power without scale. Concepts don’t just describe AI—they shape its future. journals.sagepub.com/doi/epub/10....

✨ New in Big Data & Society ✨ “Legitimacy practices, algorithms, and the new bureaucratic quantification” by @aminaabdu.bsky.social and @azjacobs.bsky.social. 🔓: journals.sagepub.com/doi/10.1177/.... #legitimacy #quantification #algorithmicgovernance

🚨 New in Big Data & Society 🚨 “Artificial intelligence, conceptions of distillation and the reframing of reasoning” by David Beer and @bnjacobsen.bsky.social. 🔓: journals.sagepub.com/doi/10.1177/.... #AI #reasoning #DeepSeeek #ML

✨ New in Big Data & Society ✨ “Platformization of research data infrastructure: A decadal analysis of scientific data management plans” by Amelia Acker, @tstruett.bsky.social, Yubing Tian, and Megan Finn. 🔓: journals.sagepub.com/doi/10.1177/... #researchdatamanagement #openscience

🚨 New in Big Data & Society 🚨 “’You can’t put the cat back in the bag once it’s out’: Australians’ understandings, practices and imaginaries concerning generative AI” by @dalupton.bsky.social and Bronwyn Bailey-Charteris. 🔓: journals.sagepub.com/doi/10.1177/... #GenerativeAI #socialresearch

✨ New in Big Data & Society ✨ “Making machine learning good enough – studying the political endeavour of finding ‘right’ metrics and thresholds” by @annaschjoett.bsky.social and Tobias Blanke. 🔓: journals.sagepub.com/doi/10.1177/... #machinelearning #goodenough #MLevaluation

🚨 New in Big Data & Society 🚨 “The data of care: Intergenerational lives between support and surveillance” by Zuzana Talašová doi.org/10.1177/2053... Examines how digital care blurs support and surveillance, reshaping intergenerational life and hidden caregiving labor.

🚨 New in Big Data & Society 🚨 “Reclaiming data science for just geographies: A critical approach” by Laura van Geene et al. doi.org/10.1177/2053... Calls for decolonial, intersectional data science to challenge inequality and build more just futures.

AI doesn’t run on data alone—it runs on people. Research on workers in Madagascar & Venezuela shows: • Data workers actively navigate constraints • They invest in skills + future aspirations • Yet their work is still framed as “low-skilled” journals.sagepub.com/doi/epdf/10....

New in Big Data & Society: When does location data become surveillance? A study of 1,405 Americans shows: • Trajectory data = highest concern • “Privacy fixes” only partly reassure • Perceptions vary across social groups journals.sagepub.com/doi/epdf/10....

New in Big Data & Society 📢 How much do we trust governments to automate decisions? Guitton et al. show: acceptance depends less on “algorithms” in general—and more on how, where, and why they’re used. #AI #GovTech #BigDataAndSociety journals.sagepub.com/doi/epdf/10....

New in Big Data & Society 📢 Visibility online isn’t just about reach—it’s about how it travels. Tsinovoi & Munk show how platform structures + user practices shape different “spaces” of visibility. #PlatformStudies #Visibility journals.sagepub.com/doi/epdf/10....

Today: Panel 4 Governing Digital Infrastructures: Platforms, AI, and the Public Interest uky.zoom.us/j/83382671765 #DataGovernance

Tomorrow: BD&S Colloquium Panel 4. Join us for a practical discussion of governance tools for platforms and AI in the public interest. uky.zoom.us/j/83382671765 #Policy #AI

📢 New in Big Data & Society Platforms increasingly restrict third-party access to data—while expanding their own. Based on 279 ToS (2012–2022), Perel et al. show how data enclosure is growing, alongside GDPR. Implications for research access & platform power. journals.sagepub.com/doi/epdf/10....

📢 New in Big Data & Society LLMs are reshaping power: from persuasion to “silicon subjects” and simulated societies. What does this mean for AI governance? journals.sagepub.com/doi/epdf/10....

Panel 4 speakers: Brett Aho, Annabelle Gawer, and Troels Krarup. Mar 18 uky.zoom.us/j/83382671765 #STS #AI

What does it mean to govern platforms and AI in the public interest, not just for innovation narratives? Panel 4 takes a law + political economy lens. Mar 18 uky.zoom.us/j/83382671765 #PlatformGovernance

Antitrust, interoperability mandates, public options, data access regimes. Panel 4 compares governance tools across sectors and jurisdictions to identify actionable mechanisms for oversight. Mar 18 uky.zoom.us/j/83382671765 #DataGovernance

AI is consolidating around a few firms controlling data, compute, and distribution. Panel 4 asks what “good” AI markets look like and what governance tools can align incentives with public value. Mar 18 uky.zoom.us/j/83382671765 #AI #Policy

🚨 New in Big Data & Society 🚨 "Algorithmicized bodies: Account nurturing behaviors on Chinese short video platforms” by Yizhang Quan. 🔓: journals.sagepub.com/doi/10.1177/... #algorithmicizedbody #disciplinarytheory #platforms

Join us for BD&S 2026 Colloquium, Panel 4: Governing Digital Infrastructures: Platforms, AI, and the Public Interest (Mar 18 | 15:00–16:30 GMT / 11:00 AM–12:30 PM EST) uky.zoom.us/j/83382671765 #DataGovernance #STS

✨ New in Big Data & Society ✨ "From the virtual community to “Trust and Safety”: eBay (1995-2007) and the rise of platform governance” by Tomás Guarna. 🔓: journals.sagepub.com/doi/10.1177/... #platformgovernance #contentmoderation #ebay

🚨 New in Big Data & Society 🚨 “Fixing borders in data: Challenges in quantifying the health status of Venezuelan pendular migrants in the Colombian border” by Maria G. Malagon, Natalia Nino-Machado, Sandra P. Martinez-Cabezas, and Catalina Gonzalez-Uribe. 🔓: journals.sagepub.com/doi/10.1177/...

✨ New in Big Data & Society ✨ "The Digital Welfare State: Conceptual limits and possibilities” by Scarlet Wilcock and Georgia van Toorn. 🔓: journals.sagepub.com/doi/10.1177/... #digitalwelfarestate #digitalization #socialpolicy

🚨 New in Big Data & Society 🚨 "Dis/engaging the ‘common sense’ of AI: Labor strategies from the 2023 SAG-AFTRA around data-driven technologies” by Emma May, Britt Paris, and Serita Sargent. 🔓: journals.sagepub.com/doi/10.1177/... #reconfiguration #feministSTS #ethicsofcare

New in Big Data & Society 🗞️ Warren Pearce et al., examine how Google transformed knowledge infrastructure through computer vision, tracing a shift from ranking by authority to ranking by similarity in Google Images. 🔗 doi.org/10.1177/2053...

New in Big Data & Society 🗞️ Anna Kawakami, Jordan Taylor, Sarah Fox, Haiyi Zhu, and Kenneth Holstein introduce “AI failure loops” to show how overconfidence in AI and underconfidence in worker expertise reinforce workplace breakdowns, especially in devalued labor. 🔗 doi.org/10.1177/2053...

New in Big Data & Society 🗞️ Alejandra Regla-Vargas, AJ Alvero, and Hajar Yazdiha analyze anti-Asian hate and counter-hate on social media during COVID-19, showing how hate and resistance enact racial projects through shifting frames. 🔗 doi.org/10.1177/2053...

Today: Panel 3, Techno-Politics of Interoperability. A conversation on how “mundane” database connections become sites of political struggle, shaping privacy, sovereignty, and governance. uky.zoom.us/j/84084505304 #CriticalDataStudies #STS

Tomorrow: BD&S 2026 Colloquium, Panel 3: Techno-Politics of Interoperability with Nina Amelung, Can E Mutlu, Annalisa Pelizza, and Nanna Bonde Thylstrup. Mar 4 uky.zoom.us/j/84084505304 #STS #DataGovernance

AI and algorithmic systems rely on interoperability to access vast datasets across databases. Panel 3 digs into the techno-politics behind those connections: who benefits, who gets exposed, and who gets governed. Mar 4 uky.zoom.us/j/84084505304 #AI #DataPolitics

Join us for BD&S 2026 Colloquium, Panel 3: Techno-Politics of Interoperability (Mar 4 | 15:30–17:30 GMT / 10:30 AM–12:30 PM EST). Interoperability is never “just technical”, it’s where governance, power, and data access get decided. lnkd.in/er4cD6xX hashtag#DataGovernance hashtag#STS

New in Big Data & Society 🗞️ Laura Rothfritz examines the 2016/2017 Data Rescue movement, introducing “anticipatory maintenance” to show how volunteers built redundant, decentralized strategies for preserving public data amid political uncertainty. 🔗 doi.org/10.1177/2053...

New in Big Data & Society 🗞️ Yu Sun, Wilfred Yang Wang, and Linlin Li examine “techno-moral governance” in rural China via a data scoring system, showing how digital tools are used to nudge morality and reorganize everyday governance. 🔗 doi.org/10.1177/2053...

New in Big Data & Society 🗞️ Miao Lu examines how “last mile” rural connectivity in Ghana is built through state projects and Chinese tech, tracing the techno-politics of datafying infrastructure, value creation, and local participation. 🔗 doi.org/10.1177/2053...

New in Big Data & Society 🗞️ Xinyu Deng examines the free labor of Google Maps “Local Guides,” showing how gamified participation translates “hacker ethic” values into data accumulation, rewarding contributors with reputation rather than pay. 🔗 doi.org/10.1177/2053...