Data havens, or privacy sans frontières?: a study of international personal data transfers. - Reuben Daniel Binns; David E. Millard; Lisa J. Harris (WebSci, 2014)

Community structure for efficient information flow in 'ToS;DR', a social machine for parsing legalese. - Reuben Binns; David Matthews (WWW (Companion Volume), 2014)

Openness for privacy: applying open approaches to personal data challenges. - Reuben Binns (2015)

Privacy Languages: Are we there yet to enable user controls? - Jun Zhao 003; Reuben Binns; Max Van Kleek; Nigel Shadbolt (WWW (Companion Volume), 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)

My Bank Already Gets this Data: Exposure Minimisation and Company Relationships in Privacy Decision-Making. - Reuben Binns; Jun Zhao 003; Max Van Kleek; Nigel Shadbolt; Ilaria Liccardi; Daniel J. Weitzner (CHI Extended Abstracts, 2017)

Better the Devil You Know: Exposing the Data Sharing Practices of Smartphone Apps. - Max Van Kleek; Ilaria Liccardi; Reuben Binns; Jun Zhao 003; Daniel J. Weitzner; Nigel Shadbolt (CHI, 2017)

Like Trainer, Like Bot? Inheritance of Bias in Algorithmic Content Moderation. - Reuben Binns; Michael Veale; Max Van Kleek; Nigel Shadbolt (SocInfo (2), 2017)

Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data. - Michael Veale; Reuben Binns (Big Data Soc., 2017)

'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 003; Nigel Shadbolt (CHI, 2018)

X-Ray Refine: Supporting the Exploration and Refinement of Information Exposure Resulting from Smartphone Apps. - Max Van Kleek; Reuben Binns; Jun Zhao 003; Adam Slack; Sauyon Lee; Dean Ottewell; Nigel Shadbolt (CHI, 2018)

"So, Tell Me What Users Want, What They Really, Really Want!". - Ulrik Lyngs; Reuben Binns; Max Van Kleek; Nigel Shadbolt (CHI Extended Abstracts, 2018)

Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making. - Michael Veale; Max Van Kleek; Reuben Binns (CHI, 2018)

Fairness in Machine Learning: Lessons from Political Philosophy. - Reuben Binns (FAT, 2018)

Third Party Tracking in the Mobile Ecosystem. - Reuben Binns; Ulrik Lyngs; Max Van Kleek; Jun Zhao 003; Timothy Libert; Nigel Shadbolt (WebSci, 2018)

"So, Tell Me What Users Want, What They Really, Really Want!". - Ulrik Lyngs; Reuben Binns; Max Van Kleek; Nigel Shadbolt (CoRR, 2018)

Some HCI Priorities for GDPR-Compliant Machine Learning. - Michael Veale; Reuben Binns; Max Van Kleek (CoRR, 2018)

Algorithms that Remember: Model Inversion Attacks and Data Protection Law. - Michael Veale; Reuben Binns; Lilian Edwards (CoRR, 2018)

What Can Political Philosophy Teach Us about Algorithmic Fairness? - Reuben Binns (IEEE Secur. Priv., 2018)

Measuring Third-party Tracker Power across Web and Mobile. - Reuben Binns; Jun Zhao 003; Max Van Kleek; Nigel Shadbolt (ACM Trans. Internet Techn., 2018)

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 (CHI, 2019)

Good News for People Who Love Bad News: Centralization, Privacy, and Transparency on US News Sites. - Timothy Libert; Reuben Binns (WebSci, 2019)

Informing The Future of Data Protection in Smart Homes. - Martin J. Kraemer; William Seymour; Reuben Binns; Max Van Kleek; Ivan Flechais (CoRR, 2019)

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 (Conference on Designing Interactive 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 (CHI Extended Abstracts, 2020)

Informing the Design of Privacy-Empowering Tools for the Connected Home. - William Seymour; Martin J. Kraemer; Reuben Binns; Max Van Kleek (CHI, 2020)

On the apparent conflict between individual and group fairness. - Reuben Binns (FAT*, 2020)

Dissolving privacy, one merger at a time: Competition, data and third party tracking. - Reuben Binns; Elettra Bietti (Comput. Law Secur. Rev., 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; et al. (CoRR, 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; et al. (IEEE Data Eng. Bull., 2020)

Algorithmic content moderation: Technical and political challenges in the automation of platform governance. - Robert Gorwa; Reuben Binns; Christian Katzenbach (Big Data Soc., 2020)

Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation. - Nitin Agrawal 002; Reuben Binns; Max Van Kleek; Kim Laine; Nigel Shadbolt (CHI, 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 004; Daniel Omeiza; Helena Webb; Nigel Shadbolt (CoRR, 2021)

Before and after GDPR: tracking in mobile apps. - Konrad Kollnig; Reuben Binns; Max Van Kleek; Ulrik Lyngs; Jun Zhao 003; Claudine Tinsman; Nigel Shadbolt (Internet Policy Rev., 2021)

How Could Equality and Data Protection Law Shape AI Fairness for People with Disabilities? - Reuben Binns; Reuben Kirkham (ACM Trans. Access. Comput., 2021)

Respect as a Lens for the Design of AI Systems. - William Seymour; Max Van Kleek; Reuben Binns; Dave Murray-Rust (AIES, 2022)

Goodbye Tracking? Impact of iOS App Tracking Transparency and Privacy Labels. - Konrad Kollnig; Anastasia Shuba; Max Van Kleek; Reuben Binns; Nigel Shadbolt (FAccT, 2022)

The Cost of the GDPR for Apps? Nearly Impossible to Study without Platform Data. - Konrad Kollnig; Reuben Binns (CoRR, 2022)

Tracking on the Web, Mobile and the Internet of Things. - Reuben Binns (Found. Trends Web Sci., 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)

'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 003; Rui Zhao 009; Naman Goel; George Chalhoub; Wael S. Albayaydh; Nigel Shadbolt (CHI, 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 (CHI Extended Abstracts, 2023)

Legal Taxonomies of Machine Bias: Revisiting Direct Discrimination. - Reuben Binns; Jeremias Adams-Prassl; Aislinn Kelly-Lyth (FAccT, 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 (FAccT, 2023)

Trust Explanations to Do What They Say. - Neil Natarajan; Reuben Binns; Jun Zhao 003; 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)

Libertas: Privacy-Preserving Computation for Decentralised Personal Data Stores. - Rui Zhao 009; Naman Goel; Nitin Agrawal 002; Jun Zhao 003; Jake M. L. Stein; Ruben Verborgh; Reuben Binns; Tim Berners-Lee; Nigel Shadbolt (CoRR, 2023)

Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms. - Hilde J. P. Weerts; Aislinn Kelly-Lyth; Reuben Binns; Jeremias Adams-Prassl (FAccT, 2024)

"Diversity is Having the Diversity": Unpacking and Designing for Diversity in Applicant Selection. - Neil Natarajan; Sruthi Viswanathan; Reuben Binns; Nigel Shadbolt (CoRR, 2024)

Reputation Management in the ChatGPT Era. - Lilian Edwards; Reuben Binns (CoRR, 2024)

Governance of Generative AI in Creative Work: Consent, Credit, Compensation, and Beyond. - Lin Kyi; Amruta Mahuli; M. Six Silberman; Reuben Binns; Jun Zhao 003; Asia J. Biega (CHI, 2025)

The Interaction Layer: An Exploration for Co-Designing User-LLM Interactions in Parental Wellbeing Support Systems. - Sruthi Viswanathan; Seray B. Ibrahim; Ravi Shankar; Reuben Binns; Max Van Kleek; Petr Slovák (CHI, 2025)

Access Denied: Meaningful Data Access for Quantitative Algorithm Audits. - Juliette Zaccour; Reuben Binns; Luc Rocher (CHI, 2025)

Not Even Nice Work If You Can Get It; A Longitudinal Study of Uber's Algorithmic Pay and Pricing. - Reuben Binns; Jake M. L. Stein; Siddhartha Datta; Max Van Kleek; Nigel Shadbolt (FAccT, 2025)

Rights Out of Sight: Data Practices and Transparency Gaps in Smart Consumer IoT Ecosystems. - Anna Ida Hudig; Anna Maria Mandalari; Chris Norval; Hamed Haddadi; Reuben Binns; Jatinder Singh (FAccT, 2025)

Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor. - Alexandra Olteanu; Su Lin Blodgett; Agathe Balayn; Angelina Wang; Fernando Diaz 001; Flávio du Pin Calmon; Margaret Mitchell; Michael D. Ekstrand; Reuben Binns; Solon Barocas (CoRR, 2025)

Language Models Change Facts Based on the Way You Talk. - Matthew Kearney; Reuben Binns; Yarin Gal (CoRR, 2025)