Optimizing Language Models for Argumentative Reasoning. - Luke Thorburn; Ariel Kruger (ArgML@COMMA, 2022)

Information Loss in Euclidean Preference Models. - Luke Thorburn; Maria Polukarov; Carmine Ventre (CoRR, 2022)

SHAPE: A Framework for Evaluating the Ethicality of Influence. - Elfia Bezou-Vrakatseli; Benedikt Brückner; Luke Thorburn (EUMAS, 2023)

Error in the Euclidean Preference Model. - Luke Thorburn; Maria Polukarov; Carmine Ventre (IJCAI, 2023)

Bridging Systems: Open Problems for Countering Destructive Divisiveness across Ranking, Recommenders, and Governance. - Aviv Ovadya; Luke Thorburn (CoRR, 2023)

Don't slip into binary thinking about AI. - Thorin Bristow; Luke Thorburn (CoRR, 2023)

Views on AI Aren't Binary - They're Plural (Extended Abstract). - Thorin Bristow; Luke Thorburn; Diana Acosta-Navas (AIES (1), 2024)

Societal Sorting as a Systemic Risk of Recommenders. - Luke Thorburn; Maria Polukarov; Carmine Ventre (RecSys, 2024)

The Moral Case for Using Language Model Agents for Recommendation. - Seth Lazar; Luke Thorburn; Tian Jin; Luca Belli (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)

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)

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 (FAccT, 2025)

Prosocial Media. - E. Glen Weyl; Luke Thorburn; Emillie de Keulenaar; Jacob Mchangama; Divya Siddarth; Audrey Tang (CoRR, 2025)