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Shapes and frictions of synthetic data
16 references·1 citing·38 second hop
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References

  • 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms3,179 cited
  • 2007Non-representational theory : space, politics, affect2,119 cited
  • 1990Representation in Scientific Practice1,792 cited
  • 2020Data Feminism1,734 cited
  • 1952Groups, Leadership, and Men1,440 cited
  • 2015The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences785 cited
  • 2003The Body Multiple463 cited
  • 2019Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations355 cited
  • 2020Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation285 cited
  • 2014Representation in Scientific Practice Revisited268 cited
  • 2007Digital Humanities Quarterly265 cited
  • 2020Towards fairer datasets254 cited
  • 2019All Data Are Local242 cited
  • 2017The Stuff of Bits131 cited
  • 2021Fair Attribute Classification through Latent Space De-biasing123 cited
  • 2017The Smartness Mandate: Notes toward a Critique119 cited

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  • 2025Simulation and the reality gap: Moments in a prehistory of synthetic data19 cited