| 'It's Reducing a Human Being to a Percentage' Perceptions of Justice in Algorithmic Decisions R Binns, M Van Kleek, M Veale, U Lyngs, J Zhao, N Shadbolt Proceedings of the 2018 Chi conference on human factors in computing systems …, 2018 | 421 | 2018 |
| Fairness in Machine Learning: Lessons from Political Philosophy R Binns Proceedings of Machine Learning Research 81, 1-11, 2017 | 414 | 2017 |
| Fairness and accountability design needs for algorithmic support in high-stakes public sector decision-making M Veale, M Van Kleek, R Binns Proceedings of the 2018 chi conference on human factors in computing systems …, 2018 | 344 | 2018 |
| Algorithmic content moderation: Technical and political challenges in the automation of platform governance R Gorwa, R Binns, C Katzenbach Big Data & Society 7 (1), 2053951719897945, 2020 | 341 | 2020 |
| Decentralized privacy-preserving proximity tracing C Troncoso, M Payer, JP Hubaux, M Salathé, J Larus, E Bugnion, ... arXiv preprint arXiv:2005.12273, 2020 | 294 | 2020 |
| Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data M Veale, R Binns Big Data & Society 4 (2), 2053951717743530, 2017 | 277 | 2017 |
| On the apparent conflict between individual and group fairness R Binns Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 200 | 2020 |
| Algorithmic accountability and public reason R Binns Philosophy & technology 31 (4), 543-556, 2018 | 198 | 2018 |
| Third Party Tracking in the Mobile Ecosystem R Binns, U Lyngs, M Van Kleek, J Zhao, T Libert, N Shadbolt WebSci '18 Proceedings of the 10th ACM Conference on Web Science, 23-31, 2018 | 167 | 2018 |
| Algorithms that remember: model inversion attacks and data protection law M Veale, R Binns, L Edwards Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2018 | 150 | 2018 |
| Like trainer, like bot? Inheritance of bias in algorithmic content moderation R Binns, M Veale, M Van Kleek, N Shadbolt Social Informatics: 9th International Conference, SocInfo 2017, Oxford, UK …, 2017 | 138 | 2017 |
| Better the devil you know: Exposing the data sharing practices of smartphone apps M Van Kleek, I Liccardi, R Binns, J Zhao, DJ Weitzner, N Shadbolt Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017 | 124 | 2017 |
| Self-control in cyberspace: Applying dual systems theory to a review of digital self-control tools U Lyngs, K Lukoff, P Slovak, R Binns, A Slack, M Inzlicht, M Van Kleek, ... proceedings of the 2019 CHI conference on human factors in computing systems …, 2019 | 123 | 2019 |
| Data protection impact assessments: a meta-regulatory approach R Binns International Data Privacy Law 7 (1), 22-35, 2017 | 74* | 2017 |
| When data protection by design and data subject rights clash M Veale, R Binns, J Ausloos International Data Privacy Law 8 (2), 105-123, 2018 | 66 | 2018 |
| Human Judgment in algorithmic loops: Individual justice and automated decision‐making R Binns Regulation & Governance 16 (1), 197-211, 2022 | 64 | 2022 |
| Measuring Third Party Tracker Power Across Web and Mobile R Binns, J Zhao, M Van Kleek, N Shadbolt ACM Transactions on Internet Technology (TOIT) 18 (4), 2018 | 52 | 2018 |
| X-ray refine: Supporting the exploration and refinement of information exposure resulting from smartphone apps M Van Kleek, R Binns, J Zhao, A Slack, S Lee, D Ottewell, N Shadbolt Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems …, 2018 | 45 | 2018 |
| Are iphones really better for privacy? a comparative study of ios and android apps K Kollnig, A Shuba, R Binns, M Van Kleek, N Shadbolt Proceedings on Privacy Enhancing Technologies 2022 (2), 6-24, 2022 | 40 | 2022 |
| What can political philosophy teach us about algorithmic fairness? R Binns IEEE Security & Privacy 16 (3), 73-80, 2018 | 31 | 2018 |
