Luke Thorburn

According to our database, Luke Thorburn authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

The Prosocial Ranking Challenge: Reducing Polarization on Social Media without Sacrificing Engagement.

Jonathan Stray, Ian Baker, George Beknazar-Yuzbashev, Ceren Budak, Julia Kamin, Kylan Rutherford, Mateusz Stalinski, Tin Acosta, Chris Bailey, Michael S. Bernstein, Mark Brandt, Amy Bruckman, Anshuman Chhabra, Soham De, Kayla Duskin, Sara Fish, Beth Goldberg, Andy Guess, Dylan Hadfield-Menell, Muhammad Haroon, Safwan Hossain, Michael Inzlicht, Gauri Jain, Yanchen Jiang, Alexander P. Landry, Yph Lelkes, Hongfan Lu, Peter Mason, Jennifer McCoy, Smitha Milli, Paul Resnick, Emily Saltz, Martin Saveski, Lisa Schirch, Max Spohn, Siddarth Srinivasan, Alexis Tatore, Luke Thorburn, Joshua A. Tucker, Robb Willer, Magdalena Wojcieszak, Manuel Wüthrich, Sylvan Zheng

CoRR, March, 2026

2025

Prosocial Media.

E. Glen Weyl, Luke Thorburn, Emillie de Keulenaar, Jacob Mchangama, Divya Siddarth, Audrey Tang

CoRR, February, 2025

Position: Democratic AI is Possible. The Democracy Levels Framework Shows How It Might Work.

Aviv Ovadya, Kyle Redman, Luke Thorburn, Quan Ze Chen, Oliver Smith, Flynn Devine, Andrew Konya, Smitha Milli, Manon Revel, Kevin Feng, Amy X. Zhang, Bilva Chandra, Michiel A. Bakker, Atoosa Kasirzadeh

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Using collective dialogues and AI to find common ground between Israeli and Palestinian peacebuilders.

Andrew Konya, Luke Thorburn, Wasim Almasri, Oded Adomi Leshem, Ariel D. Procaccia, Lisa Schirch, Michiel A. Bakker

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

2024

Shaping the Future of Social Media with Middleware.

Luke Hogg, Renée DiResta, Francis Fukuyama, Richard Reisman, Daphne Keller, Aviv Ovadya, Luke Thorburn, Jonathan Stray, Shubhi Mathur

CoRR, 2024

Toward Democracy Levels for AI.

Aviv Ovadya, Luke Thorburn, Kyle Redman, Flynn Devine, Smitha Milli, Manon Revel, Andrew Konya, Atoosa Kasirzadeh

CoRR, 2024

The Moral Case for Using Language Model Agents for Recommendation.

Seth Lazar, Luke Thorburn, Tian Jin, Luca Belli

CoRR, 2024

Societal Sorting as a Systemic Risk of Recommenders.

Luke Thorburn, Maria Polukarov, Carmine Ventre

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Views on AI Aren't Binary - They're Plural (Extended Abstract).

Thorin Bristow, Luke Thorburn, Diana Acosta-Navas

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

Don't slip into binary thinking about AI.

Thorin Bristow, Luke Thorburn

CoRR, 2023

Bridging Systems: Open Problems for Countering Destructive Divisiveness across Ranking, Recommenders, and Governance.

Aviv Ovadya, Luke Thorburn

CoRR, 2023

Error in the Euclidean Preference Model.

Luke Thorburn, Maria Polukarov, Carmine Ventre

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

SHAPE: A Framework for Evaluating the Ethicality of Influence.

Elfia Bezou-Vrakatseli, Benedikt Brückner, Luke Thorburn

Proceedings of the Multi-Agent Systems - 20th European Conference, 2023

2022

Information Loss in Euclidean Preference Models.

Luke Thorburn, Maria Polukarov, Carmine Ventre

CoRR, 2022

Optimizing Language Models for Argumentative Reasoning.

Luke Thorburn, Ariel Kruger

Proceedings of the 1st Workshop on Argumentation & Machine Learning co-located with 9th International Conference on Computational Models of Argument (COMMA 2022), 2022