161 citations · 235 across the 16 of their papers we have counts for
7 papers · 1 filter
From Caricature to Collective Artifact: How Persona Construction Drives Polarization in Generative Social Simulations
Dimitris Michailidis, Petter Törnberg, Fernando P. Santos
Generative Social Simulation (GSS) leverages Large Language Models (LLMs) to create sophisticated personas that define agents with demographics, emotions, and political opinions. W…
Meeting the Coming Wave: The Emerging Politics of AI and Work across 33 Parliaments
Juliana Chueri, Petter Törnberg
A new politics of artificial intelligence and work is taking shape across party systems, but comparative politics has yet to map it. Using 1,514,950 parliamentary speeches from 33…
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…
The Politics Attention Makes: Platform Media Logic and the Mediatization of Politics
Petter Törnberg
Empirical research on social media and politics has primarily treated platforms as distributive systems that expose users to particular messages. The mediatization literature, howe…
Political Bias Audits of LLMs Capture Sycophancy to the Inferred Auditor
Petter Törnberg, Michelle Schimmel
Large language models (LLMs) are commonly evaluated for political bias based on their responses to fixed questionnaires, which typically place frontier models on the political left…
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…
Large Language Models Reproduce Racial Stereotypes When Used for Text Annotation
Petter Törnberg
Large language models (LLMs) are increasingly used for automated text annotation in tasks ranging from academic research to content moderation and hiring. Across 19 LLMs and two ex…