Large language models (LLMs) are gaining increasing popularity in both academia and
industry, owing to their unprecedented performance in various applications. As LLMs …

Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …

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 poster …

The social and behavioral sciences have been increasingly using automated text analysis to
measure psychological constructs in text. We explore whether GPT, the large-language …

ChatGPT, the first large language model (LLM) with mass adoption, has demonstrated
remarkable performance in numerous natural language tasks. Despite its evident …

Abstract Machine learning presents opportunities for tracking evidence on climate change
adaptation, including text-based methods from natural language processing. In theory, such …

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 …

Large-scale text analysis has grown rapidly as a method in political science and beyond. To
date, text-as-data methods rely on large volumes of human-annotated training examples …

Large language models (LLMs) offer new research possibilities for social scientists, but their
potential as “synthetic data” is still largely unknown. In this paper, we investigate how …

User modeling (UM) aims to discover patterns or learn representations from user data about
the characteristics of a specific user, such as profile, preference, and personality. The user …