Big Data & Society(@BigDataSoc) 's Twitter Profileg
Big Data & Society

@BigDataSoc

Open access peer-reviewed journal connecting debates on emerging Big Data practices & how they reconfigure academic, social, industry, & government relations.

ID:1617603914

linkhttp://bds.sagepub.com calendar_today24-07-2013 11:58:49

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📣 New paper ‘Shapes and frictions of synthetic data’ by Dietmar Offenhuber (dietmar offenhuber) discusses a relational and situational model that foregrounds 'the outliers, artifacts, and gaps' in datasets. #syntheticdata#
🔗 buff.ly/4dw0c3U

📣 New paper ‘Shapes and frictions of synthetic data’ by Dietmar Offenhuber (@dietoff) discusses a relational and situational model that foregrounds 'the outliers, artifacts, and gaps' in datasets. #syntheticdata# #AI #USCensus #differentialprivacy 🔗 buff.ly/4dw0c3U
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This article moves away from the idea that ethics is a technology that is the responsibility of technologists alone. Revisit Margarita Boenig-Liptsin's work about ethics in a datafied world at the following link: buff.ly/3Y6JpN3

This article moves away from the idea that ethics is a technology that is the responsibility of technologists alone. Revisit Margarita Boenig-Liptsin's work about ethics in a datafied world at the following link: buff.ly/3Y6JpN3 #dataethics #relationalethics
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The SAGE open access journal Big Data & Society (BD&S) is soliciting proposals for a Special Theme to be published in 2025/26. Proposals are due August 15, 2024 with paper submissions expect in early 2025.

More details on this call are available at buff.ly/44AXJkR

The SAGE open access journal Big Data & Society (BD&S) is soliciting proposals for a Special Theme to be published in 2025/26. Proposals are due August 15, 2024 with paper submissions expect in early 2025. More details on this call are available at buff.ly/44AXJkR
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Revisit the paper 'Learning machine learning: On the political economy of big tech's online AI courses' by Inga Luchs (Inga Luchs), Clemens Apprich and Marcel Broersma (@MJBroersma) at buff.ly/3DPA18j

Revisit the paper 'Learning machine learning: On the political economy of big tech's online AI courses' by Inga Luchs (@lynxlynxly), Clemens Apprich and Marcel Broersma (@MJBroersma) at buff.ly/3DPA18j #AI #machinelearning #politicaleconomy
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📣 New paper is out! ‘Deeply embedded wages: Navigating digital payments in data work’ from the special theme on Critical Data Studies in Latin America by Juilan Posada (Julian Posada).

Read here: buff.ly/4b6sgcH

📣 New paper is out! ‘Deeply embedded wages: Navigating digital payments in data work’ from the special theme on Critical Data Studies in Latin America by Juilan Posada (@JulianPosada0). #platformlabor #datawork #cryptocurrency Read here: buff.ly/4b6sgcH
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How are algorithms entangled with other entities to regulate terrorist content inside social media? Today, we invite you to revisit Valentine Crosset (Valentine Crosset) and Benoît Dupont work about algorithmic content moderation. More: buff.ly/3JrpQKx

How are algorithms entangled with other entities to regulate terrorist content inside social media? Today, we invite you to revisit Valentine Crosset (@ValentineCrst) and Benoît Dupont work about algorithmic content moderation. More: buff.ly/3JrpQKx #regulation
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'The revolution that did not happen: Telematics and car insurance in the 2010s' by Pierre Francois and Théo Voldoire (@TheoVoldoire) unravels the promises of to radically change insurance. You can read the full paper at ➡️ buff.ly/3jkzy72

'The revolution that did not happen: Telematics and car insurance in the 2010s' by Pierre Francois and Théo Voldoire (@TheoVoldoire) unravels the promises of #bigdata to radically change insurance. You can read the full paper at ➡️ buff.ly/3jkzy72 #innovation #sociology
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🔆The new week brings a new paper: ‘Foundation models are platform models: Prompting and the political economy of AI’ by Sarah Burkhardt and Bernhard Rieder (Bernhard Rieder)
🔗 Link to paper: buff.ly/3Ud0fsP

🔆The new week brings a new paper: ‘Foundation models are platform models: Prompting and the political economy of AI’ by Sarah Burkhardt and Bernhard Rieder (@RiederB) #AI #platformization #prompting #materiality 🔗 Link to paper: buff.ly/3Ud0fsP
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📢 What about wrapping up the week exploring the latest insights into a community of self-trackers: ‘Quantifying the self with others’ by Shelbey R. Call, Jared T. Jensen, and Joshua B. Barbour (Joshua Barbour)

🔗Link to paper: buff.ly/3JyKibg

📢 What about wrapping up the week exploring the latest insights into a community of self-trackers: ‘Quantifying the self with others’ by Shelbey R. Call, Jared T. Jensen, and Joshua B. Barbour (@barbourjosh) #selftracking #quantifiedself 🔗Link to paper: buff.ly/3JyKibg
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Sam Muller and colleagues write 'the extent to which adequate accountability regimes in data-intensive health research networks are currently realized is questionable'. Revisit the challenges of data-intensive research on this link: buff.ly/3kxluHC

Sam Muller and colleagues write 'the extent to which adequate accountability regimes in data-intensive health research networks are currently realized is questionable'. Revisit the challenges of data-intensive research on this link: buff.ly/3kxluHC #accountability #HIPAA
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Explore the ethical and political implications of synthetic data in machine learning in this research by Benjamin Jacobsen (Benjamin Jacobsen). Read the full paper, 'Machine learning and the politics of synthetic data' here: buff.ly/3j8By1U

Explore the ethical and political implications of synthetic data in machine learning in this research by Benjamin Jacobsen (@BN_Jacobsen). Read the full paper, 'Machine learning and the politics of synthetic data' here: buff.ly/3j8By1U #algorithms #risk #ethics
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📣New paper is out: ‘Repairing the harm: Toward an algorithmic reparations approach to hate speech content moderation’ from the special theme on Algorithmic Reparation by Chelsea Peterson-Salahuddin Chelsea Peterson-Salahuddin, Ph.D.. Read here ▶️ buff.ly/3JxL1JO

📣New paper is out: ‘Repairing the harm: Toward an algorithmic reparations approach to hate speech content moderation’ from the special theme on Algorithmic Reparation by Chelsea Peterson-Salahuddin @ChelsSalahuddin. Read here ▶️ buff.ly/3JxL1JO #contentmoderation
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New paper🎙“Privacy cynicism and diminishing utility of state surveillance: A natural experiment of mandatory location disclosure on China’s Weibo” by Yuner Zhu from the special theme on Digital Resignation and Privacy Cynicism 🔗buff.ly/4cVe5bE

New paper🎙“Privacy cynicism and diminishing utility of state surveillance: A natural experiment of mandatory location disclosure on China’s Weibo” by Yuner Zhu from the special theme on Digital Resignation and Privacy Cynicism #surveillance #geolocation 🔗buff.ly/4cVe5bE
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Jessica Holloway (Jess Lawson) and Steven Lewis paper examines the Texas Teacher Evaluation and Support System (T-TESS) as a representative empirical case.

Read about their work here: buff.ly/3DbSEDb

Jessica Holloway (@JessLHolloway) and Steven Lewis paper examines the Texas Teacher Evaluation and Support System (T-TESS) as a representative empirical case. Read about their work here: buff.ly/3DbSEDb #TTESS #datafication #discipline
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Today we are revisiting 'A critical analysis of digital phenotyping and the neuro-digital complex in psychiatry' by Rodrigo De La Fabián (Rodrigo De La Fabián), Álvaro Jiménez-Molina (@alvarojimol) and Francisco Pizarro Obaid. Read at: buff.ly/3ZVOBVb

Today we are revisiting 'A critical analysis of digital phenotyping and the neuro-digital complex in psychiatry' by Rodrigo De La Fabián (@rdelafabian), Álvaro Jiménez-Molina (@alvarojimol) and Francisco Pizarro Obaid. Read at: buff.ly/3ZVOBVb #mHealth #digitalpsychiatry
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📣 New paper is out! “Agreements ‘in the wild’: Standards and alignment in machine learning benchmark dataset construction” by Isak Engdahl. Read here ➡️ buff.ly/4b2bWJo

📣 New paper is out! “Agreements ‘in the wild’: Standards and alignment in machine learning benchmark dataset construction” by Isak Engdahl. Read here ➡️ buff.ly/4b2bWJo #ethnography #machinelearning #benchmark #inthewild #standards #alignmentwork
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Research by Mathur et al. finds that manipulative tactics were the norm in over 300,000 emails during the 2020 US election cycle.

Check out their paper on the use of deception and clickbait at: buff.ly/3Xuv6l3

Research by Mathur et al. finds that manipulative tactics were the norm in over 300,000 emails during the 2020 US election cycle. Check out their paper on the use of deception and clickbait at: buff.ly/3Xuv6l3 #PoliticalEmails #Manipulation #2020Election
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Using a case study of mobility in , Rida Qadri (Rida Qadri) and Catherine D’Ignazio (@kanarinka) imagine alternatives to platform-centric views of work and the city.

read more: journals.sagepub.com/doi/full/10.11… 🚕 📷 📷🚙

Using a case study of mobility #platforms in #Jakarta, Rida Qadri (@qadrida) and Catherine D’Ignazio (@kanarinka) imagine alternatives to platform-centric views of work and the city. read more: journals.sagepub.com/doi/full/10.11… 🚕 📷 📷🚙
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This new paper reveals inaccuracies and mismatches in the automated decision-making: “The EU Settlement Scheme: Footprints in quicksand” by Cristina Juverdeanu Cristina Juverdeanu 🔗buff.ly/3JqjrhG

This new paper reveals inaccuracies and mismatches in the automated decision-making: “The EU Settlement Scheme: Footprints in quicksand” by Cristina Juverdeanu @CrisJuverdeanu #Brexit #immigration #algorithm #footprints #datafication #bigdata #automation 🔗buff.ly/3JqjrhG
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