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Big Data and discrimination: perils, promises and solutions. A systematic review
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References

  • 2015Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement26,189 cited
  • 2012CRITICAL QUESTIONS FOR BIG DATA5,449 cited
  • 1999Code and Other Laws of Cyberspace3,258 cited
  • 2014Big Data's Disparate Impact3,046 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,157 cited
  • 2011Data preprocessing techniques for classification without discrimination1,304 cited
  • 2017Big Data Surveillance: The Case of Policing866 cited
  • 2017What is data justice? The case for connecting digital rights and freedoms globally798 cited
  • 2010Three naive Bayes approaches for discrimination-free classification756 cited
  • 2015The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts713 cited
  • 2017Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data511 cited
  • 2015Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of ‘datification’493 cited
  • 2015The Trouble with Algorithmic Decisions422 cited
  • 1997Lex Informatica: The Formulation of Information Policy Rules through Technology415 cited
  • 2015

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A Brief Introduction on Big Data 5Vs Characteristics and Hadoop Technology
413 cited
  • 2013Undefined By Data: A Survey of Big Data Definitions385 cited
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    • 2021Exploring big data traits and data quality dimensions for big data analytics application using partial least squares structural equation modelling43 cited
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