Reuben Binns

According to our database, Reuben Binns authored at least 47 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Libertas: Privacy-Preserving Computation for Decentralised Personal Data Stores.

Rui Zhao, Naman Goel, Nitin Agrawal, Jun Zhao, Jake M. L. Stein, Ruben Verborgh, Reuben Binns, Tim Berners-Lee, Nigel Shadbolt

CoRR, 2023

We Are Not There Yet: The Implications of Insufficient Knowledge Management for Organisational Compliance.

Thomas Serban Von Davier, Konrad Kollnig, Reuben Binns, Max Van Kleek, Nigel Shadbolt

CoRR, 2023

Trust Explanations to Do What They Say.

Neil Natarajan, Reuben Binns, Jun Zhao, Nigel Shadbolt

CoRR, 2023

'We are adults and deserve control of our phones': Examining the risks and opportunities of a right to repair for mobile apps.

Konrad Kollnig, Siddhartha Datta, Thomas Serban Von Davier, Max Van Kleek, Reuben Binns, Ulrik Lyngs, Nigel Shadbolt

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Legal Taxonomies of Machine Bias: Revisiting Direct Discrimination.

Reuben Binns, Jeremias Adams-Prassl, Aislinn Kelly-Lyth

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Spectators of AI : Football Fans vs. the Semi-Automated Offside Technology at the 2022 FIFA World Cup.

Sruthi Viswanathan, Ravi Shankar, Jack Jackson, Reuben Binns

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

'You are you and the app. There's nobody else.': Building Worker-Designed Data Institutions within Platform Hegemony.

Jake M. L. Stein, Vidminas Vizgirda, Max Van Kleek, Reuben Binns, Jun Zhao, Rui Zhao, Naman Goel, George Chalhoub, Wael S. Albayaydh, Nigel Shadbolt

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Are iPhones Really Better for Privacy? A Comparative Study of iOS and Android Apps.

Konrad Kollnig, Anastasia Shuba, Reuben Binns, Max Van Kleek, Nigel Shadbolt

Proc. Priv. Enhancing Technol., 2022

Tracking on the Web, Mobile and the Internet of Things.

Reuben Binns

Found. Trends Web Sci., 2022

The Cost of the GDPR for Apps? Nearly Impossible to Study without Platform Data.

Konrad Kollnig, Reuben Binns

CoRR, 2022

Goodbye Tracking? Impact of iOS App Tracking Transparency and Privacy Labels.

Konrad Kollnig, Anastasia Shuba, Max Van Kleek, Reuben Binns, Nigel Shadbolt

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Respect as a Lens for the Design of AI Systems.

William Seymour, Max Van Kleek, Reuben Binns, Dave Murray-Rust

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021

How Could Equality and Data Protection Law Shape AI Fairness for People with Disabilities?

Reuben Binns, Reuben Kirkham

ACM Trans. Access. Comput., 2021

Before and after GDPR: tracking in mobile apps.

Konrad Kollnig, Reuben Binns, Max Van Kleek, Ulrik Lyngs, Jun Zhao, Claudine Tinsman, Nigel Shadbolt

Internet Policy Rev., 2021

A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android Apps.

Konrad Kollnig, Reuben Binns, Pierre Dewitte, Max Van Kleek, Ge Wang, Daniel Omeiza, Helena Webb, Nigel Shadbolt

CoRR, 2021

Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation.

Nitin Agrawal, Reuben Binns, Max Van Kleek, Kim Laine, Nigel Shadbolt

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Algorithmic content moderation: Technical and political challenges in the automation of platform governance.

Robert Gorwa, Reuben Binns, Christian Katzenbach

Big Data Soc., January, 2020

Decentralized Privacy-Preserving Proximity Tracing.

Carmela Troncoso, Mathias Payer, Jean-Pierre Hubaux, Marcel Salathé, James R. Larus, Wouter Lueks, Theresa Stadler, Apostolos Pyrgelis, Daniele Antonioli, Ludovic Barman, Sylvain Chatel, Kenneth G. Paterson, Srdjan Capkun, David A. Basin, Jan Beutel, Dennis Jackson, Marc Roeschlin, Patrick Leu, Bart Preneel, Nigel P. Smart, Aysajan Abidin, Seda Gurses, Michael Veale, Cas Cremers, Michael Backes, Nils Ole Tippenhauer, Reuben Binns, Ciro Cattuto, Alain Barrat, Dario Fiore, Manuel Barbosa, Rui Oliveira, José Pereira

IEEE Data Eng. Bull., 2020

Decentralized Privacy-Preserving Proximity Tracing.

Carmela Troncoso, Mathias Payer, Jean-Pierre Hubaux, Marcel Salathé, James R. Larus, Edouard Bugnion, Wouter Lueks, Theresa Stadler, Apostolos Pyrgelis, Daniele Antonioli, Ludovic Barman, Sylvain Chatel, Kenneth G. Paterson, Srdjan Capkun, David A. Basin, Jan Beutel, Dennis Jackson, Marc Roeschlin, Patrick Leu, Bart Preneel, Nigel P. Smart, Aysajan Abidin, Seda F. Gürses, Michael Veale, Cas Cremers, Michael Backes, Nils Ole Tippenhauer, Reuben Binns, Ciro Cattuto, Alain Barrat, Dario Fiore, Manuel Barbosa, Rui Oliveira, José Pereira

CoRR, 2020

Dissolving privacy, one merger at a time: Competition, data and third party tracking.

Reuben Binns, Elettra Bietti

Comput. Law Secur. Rev., 2020

On the apparent conflict between individual and group fairness.

Reuben Binns

Proceedings of the FAT* '20: Conference on Fairness, 2020

Informing the Design of Privacy-Empowering Tools for the Connected Home.

William Seymour, Martin J. Kraemer, Reuben Binns, Max Van Kleek

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

Human-Centered Approaches to Fair and Responsible AI.

Min Kyung Lee, Nina Grgic-Hlaca, Michael Carl Tschantz, Reuben Binns, Adrian Weller, Michelle Carney, Kori Inkpen

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Strangers in the Room: Unpacking Perceptions of 'Smartness' and Related Ethical Concerns in the Home.

William Seymour, Reuben Binns, Petr Slovák, Max Van Kleek, Nigel Shadbolt

Proceedings of the DIS '20: Designing Interactive Systems Conference 2020, 2020

2019

Informing The Future of Data Protection in Smart Homes.

Martin J. Kraemer, William Seymour, Reuben Binns, Max Van Kleek, Ivan Flechais

CoRR, 2019

Good News for People Who Love Bad News: Centralization, Privacy, and Transparency on US News Sites.

Timothy Libert, Reuben Binns

Proceedings of the 11th ACM Conference on Web Science, 2019

Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control Tools.

Ulrik Lyngs, Kai Lukoff, Petr Slovák, Reuben Binns, Adam Slack, Michael Inzlicht, Max Van Kleek, Nigel Shadbolt

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018

Measuring Third-party Tracker Power across Web and Mobile.

Reuben Binns, Jun Zhao, Max Van Kleek, Nigel Shadbolt

ACM Trans. Internet Techn., 2018

What Can Political Philosophy Teach Us about Algorithmic Fairness?

Reuben Binns

IEEE Secur. Priv., 2018

Algorithms that Remember: Model Inversion Attacks and Data Protection Law.

Michael Veale, Reuben Binns, Lilian Edwards

CoRR, 2018

Some HCI Priorities for GDPR-Compliant Machine Learning.

Michael Veale, Reuben Binns, Max Van Kleek

CoRR, 2018

"So, Tell Me What Users Want, What They Really, Really Want!".

Ulrik Lyngs, Reuben Binns, Max Van Kleek, Nigel Shadbolt

CoRR, 2018

Third Party Tracking in the Mobile Ecosystem.

Reuben Binns, Ulrik Lyngs, Max Van Kleek, Jun Zhao, Timothy Libert, Nigel Shadbolt

Proceedings of the 10th ACM Conference on Web Science, 2018

Fairness in Machine Learning: Lessons from Political Philosophy.

Reuben Binns

Proceedings of the Conference on Fairness, Accountability and Transparency, 2018

Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making.

Michael Veale, Max Van Kleek, Reuben Binns

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

"So, Tell Me What Users Want, What They Really, <i>Really</i> Want!".

Ulrik Lyngs, Reuben Binns, Max Van Kleek, Nigel Shadbolt

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

X-Ray Refine: Supporting the Exploration and Refinement of Information Exposure Resulting from Smartphone Apps.

Max Van Kleek, Reuben Binns, Jun Zhao, Adam Slack, Sauyon Lee, Dean Ottewell, Nigel Shadbolt

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions.

Reuben Binns, Max Van Kleek, Michael Veale, Ulrik Lyngs, Jun Zhao, Nigel Shadbolt

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017

Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data.

Michael Veale, Reuben Binns

Big Data Soc., December, 2017

Like Trainer, Like Bot? Inheritance of Bias in Algorithmic Content Moderation.

Reuben Binns, Michael Veale, Max Van Kleek, Nigel Shadbolt

Proceedings of the Social Informatics, 2017

Better the Devil You Know: Exposing the Data Sharing Practices of Smartphone Apps.

Max Van Kleek, Ilaria Liccardi, Reuben Binns, Jun Zhao, Daniel J. Weitzner, Nigel Shadbolt

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

My Bank Already Gets this Data: Exposure Minimisation and Company Relationships in Privacy Decision-Making.

Reuben Binns, Jun Zhao, Max Van Kleek, Nigel Shadbolt, Ilaria Liccardi, Daniel J. Weitzner

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

The Rise of Social Machines: The development of a human/digital ecosystem.

Nigel Shadbolt, Max Van Kleek, Reuben Binns

IEEE Consumer Electron. Mag., 2016

Privacy Languages: Are we there yet to enable user controls?

Jun Zhao, Reuben Binns, Max Van Kleek, Nigel Shadbolt

Proceedings of the 25th International Conference on World Wide Web, 2016

2015

Openness for privacy: applying open approaches to personal data challenges.

Reuben Binns

PhD thesis, 2015

2014

Community structure for efficient information flow in 'ToS;DR', a social machine for parsing legalese.

Reuben Binns, David Matthews

Proceedings of the 23rd International World Wide Web Conference, 2014

Data havens, or privacy sans frontières?: a study of international personal data transfers.

Reuben Daniel Binns, David E. Millard, Lisa J. Harris

Proceedings of the ACM Web Science Conference, 2014