Switch to: References

Add citations

You must login to add citations.
  1. Digital Phenotyping and Data Inheritance.Mette N. Svendsen & Sara Green - 2021 - Big Data and Society 8 (2).
    Proponents of precision medicine envision that digital phenotyping can enable more individualized strategies to manage current and future health conditions. We problematize the interpretation of digital phenotypes as straightforward representations of individuals through examples of what we call data inheritance. Rather than being a digital copy of a presumed original, digital phenotypes are shaped by larger data collectives that precede and continuously change how the individual is represented. We contend that looking beyond the individual is crucial for understanding the factors (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  • Loops, Ladders and Links: The Recursivity of Social and Machine Learning.Marion Fourcade & Fleur Johns - 2020 - Theory and Society 49 (5-6):803-832.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  • Data as Asset? The Measurement, Governance, and Valuation of Digital Personal Data by Big Tech.Callum Ward, D. T. Cochrane & Kean Birch - 2021 - Big Data and Society 8 (1).
    Digital personal data is increasingly framed as the basis of contemporary economies, representing an important new asset class. Control over these data assets seems to explain the emergence and dominance of so-called “Big Tech” firms, consisting of Apple, Microsoft, Amazon, Google/alphabet, and Facebook. These US-based firms are some of the largest in the world by market capitalization, a position that they retain despite growing policy and public condemnation—or “techlash”—of their market power based on their monopolistic control of personal data. We (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  • Big Data for Climate Action or Climate Action for Big Data?Melissa Aronczyk & Maria I. Espinoza - 2021 - Big Data and Society 8 (1).
    Under the banner of “data for good,” companies in the technology, finance, and retail sectors supply their proprietary datasets to development agencies, NGOs, and intergovernmental organizations to help solve an array of social problems. We focus on the activities and implications of the Data for Climate Action campaign, a set of public–private collaborations that wield user data to design innovative responses to the global climate crisis. Drawing on in-depth interviews, first-hand observations at “data for good” events, intergovernmental and international organizational (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark   1 citation