161 citations · 198 across the 3 of their papers we have counts for
5 papers · 1 filter
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…
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…
Best Practices for Text Annotation with Large Language Models
Petter Törnberg
Large Language Models (LLMs) have ushered in a new era of text annotation, as their ease-of-use, high accuracy, and relatively low costs have meant that their use has exploded in r…
How to use LLMs for Text Analysis
Petter Törnberg
This guide introduces Large Language Models (LLM) as a highly versatile text analysis method within the social sciences. As LLMs are easy-to-use, cheap, fast, and applicable on a b…
ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning
Petter Törnberg
This paper assesses the accuracy, reliability and bias of the Large Language Model (LLM) ChatGPT-4 on the text analysis task of classifying the political affiliation of a Twitter p…