5 citations · 5 across the 4 of their papers we have counts for
6 papers · 1 filter
Prompt Stability Scoring for Text Annotation with Large Language Models
Christopher Barrie, Elli Palaiologou, Petter Törnberg
Researchers are increasingly using language models (LMs) for text annotation. These approaches rely only on a prompt telling the model to return a given output according to a set o…
Large Language Models Reproduce Racial Stereotypes When Used for Text Annotation
Petter Törnberg, 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…
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…
Measuring Negative Campaigning across Languages with Large Language Models: A Study of 18 Million Tweets in 19 Countries
Victor Hartman, Petter Törnberg
Negative campaigning is a defining feature of electoral competition, yet comparative research on its drivers has remained limited by the high cost and limited scalability of existi…
Emergent LLM behaviors are observationally equivalent to data leakage
Christopher Barrie, Petter Törnberg
Ashery et al. recently argue that large language models (LLMs), when paired to play a classic "naming game," spontaneously develop linguistic conventions reminiscent of human socia…
Elite Political Discourse has Become More Toxic in Western Countries
Petter Törnberg, Juliana Chueri
Toxic and uncivil politics is widely seen as a growing threat to democratic values and governance, yet our understanding of the drivers and evolution of political incivility remain…