18 citations · 18 across the 4 of their papers we have counts for
5 papers
Political Sorting Can Drive AI Models Apart Through User Feedback
Petter Törnberg, Michael Heseltine, Nicolò Pagan +3
Large language models are rapidly becoming an important source of political information. This raises a fundamental question: will AI systems support a shared basis for political kn…
Aïra: Rethinking AI Research Assistants for Interdisciplinary Science
Diya Mirji, Tiffany Degbotse, Sharmil Nanjappa +9
Scientific discovery increasingly depends on interdisciplinary teams whose members contribute distinct expertise, conceptual frameworks, vocabularies, assumptions, and standards of…
Polarization by Default: Auditing Recommendation Bias in LLM-Based Content Curation
Nicolò Pagan, Christopher Barrie, Chris Andrew Bail +1
Large Language Models (LLMs) are increasingly deployed to curate and rank human-created content, yet the nature and structure of their biases in these tasks remains poorly understo…
Computational Turing Test Reveals Systematic Differences Between Human and AI Language
Nicolò Pagan, Petter Törnberg, Christopher A. Bail +2
Large language models (LLMs) are increasingly used in the social sciences to simulate human behavior, based on the assumption that they can generate realistic, human-like text. Yet…
Simulating Social Media Using Large Language Models to Evaluate Alternative News Feed Algorithms
Petter Törnberg, Diliara Valeeva, Justus Uitermark +1
Social media is often criticized for amplifying toxic discourse and discouraging constructive conversations. But designing social media platforms to promote better conversations is…