Toward User-Driven Algorithm Auditing: Investigating users' strategies for uncovering harmful algorithmic behavior

Alicia DeVos, Aditi Dhabalia, Hong Shen, Kenneth Holstein, Motahhare Eslami. Toward User-Driven Algorithm Auditing: Investigating users' strategies for uncovering harmful algorithmic behavior. In Simone D. J. Barbosa, Cliff Lampe, Caroline Appert, David A. Shamma, Steven Mark Drucker, Julie R. Williamson, Koji Yatani, editors, CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022 - 5 May 2022. ACM, 2022. [doi]

@inproceedings{DeVosDSHE22,
  title = {Toward User-Driven Algorithm Auditing: Investigating users' strategies for uncovering harmful algorithmic behavior},
  author = {Alicia DeVos and Aditi Dhabalia and Hong Shen and Kenneth Holstein and Motahhare Eslami},
  year = {2022},
  doi = {10.1145/3491102.3517441},
  url = {https://doi.org/10.1145/3491102.3517441},
  researchr = {https://researchr.org/publication/DeVosDSHE22},
  cites = {0},
  citedby = {0},
  booktitle = {CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022 - 5 May 2022},
  editor = { Simone D. J. Barbosa and Cliff Lampe and Caroline Appert and David A. Shamma and Steven Mark Drucker and Julie R. Williamson and Koji Yatani},
  publisher = {ACM},
  isbn = {978-1-4503-9157-3},
}