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Algorithmic Bias? An Empirical Study into Apparent Gender-Based Discrimination in the Display of STEM Career Ads
16 references·16 citing·39 second hopsampled
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References

  • 1973Male-Female Wage Differentials in Urban Labor Markets8,454 cited
  • 2004Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination4,498 cited
  • 1972The Economics of Discrimination.3,573 cited
  • 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy3,071 cited
  • 2014Big Data's Disparate Impact3,046 cited
  • 2014A Grand Gender Convergence: Its Last Chapter2,656 cited
  • 2016Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy2,335 cited
  • 2015THE THEORY OF DISCRIMINATION1,804 cited
  • 1993Nobel Lecture: The Economic Way of Looking at Behavior1,619 cited
  • 2015Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment999 cited
  • 2016Field Experiments on Discrimination927 cited
  • 2010Seeking Congruity Between Goals and Roles877 cited
  • 2013Social Networks, Personalized Advertising, and Privacy Controls826 cited
  • 2013Discrimination in online ad delivery751 cited
  • 2015Automated Experiments on Ad Privacy Settings664 cited
  • 2017

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Human Decisions and Machine Predictions
545 cited

Cited by

  • 2019Primer on artificial intelligence and robotics168 cited
  • 2020Evolution and impact of bias in human and machine learning algorithm interaction116 cited
  • 2019Discrimination through Optimization: How Facebook's Ad Delivery Can Lead to Biased Outcomes111 cited
  • 2019Feminist AI: Can We Expect Our AI Systems to Become Feminist?93 cited
  • 2023Advancing algorithmic bias management capabilities in AI-driven marketing analytics research92 cited
  • 2019Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes71 cited
  • 2019Reducing Gender Bias in Word-Level Language Models with a Gender-Equalizing Loss Function63 cited
  • 2021Machine learning fairness notions: Bridging the gap with real-world applications60 cited
  • 2022From the “rush to ethics” to the “race for governance” in Artificial Intelligence59 cited
  • 2018The AI Delusion59 cited
  • 2024The Economic Impacts and the Regulation of AI: A Review of the Academic Literature and Policy Actions56 cited
  • 2018From Big Data to Deep Learning: A Leap Towards Strong AI or ‘Intelligentia Obscura’?50 cited
  • 2019Bias and Productivity in Humans and Machines49 cited
  • 2019What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring45 cited
  • 2017Digital Economics45 cited
  • 2024Youth perspectives on technology ethics: analysis of teens’ ethical reflections on AI in learning activities41 cited