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Navigating a Black Box: Students’ Experiences and Perceptions of Automated Hiring
16 references·0 citing·52 second hop
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References

  • 2015Qualitative Inquiry and Research Design: Choosing Among Five Approaches22,104 cited
  • 1986SOCIALIZATION TACTICS, SELF-EFFICACY, AND NEWCOMERS' ADJUSTMENTS TO ORGANIZATIONS.1,559 cited
  • 2018Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management1,334 cited
  • 2020Mitigating bias in algorithmic hiring830 cited
  • 2018'It's Reducing a Human Being to a Percentage'690 cited
  • 1992Matchmaker, Matchmaker: The Effect of Old Boy Networks on Job Match Quality, Earnings, and Tenure392 cited
  • 2008Novice software developers, all over again266 cited
  • 2022Ethics of Data and Analytics248 cited
  • 2018A Qualitative Exploration of Perceptions of Algorithmic Fairness238 cited
  • 2013Confusing Claims for Data: A Critique of Common Practices for Presenting Qualitative Research on Learning213 cited
  • 2020Factors Influencing Perceived Fairness in Algorithmic Decision-Making211 cited
  • 2019What Does It Mean to ‘Solve’ the Problem of Discrimination in Hiring?197 cited
  • 2016Automated Analysis and Prediction of Job Interview Performance161 cited
  • 2016Understanding student retention in computer science education: The role of environment, gains, barriers and usefulness156 cited

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2022
Allying with AI? Reactions toward human-based, AI/ML-based, and augmented hiring processes
147 cited
  • 2021Algorithmic Hiring in Practice111 cited
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