Large Language Models

2024/09/26 by Johannes B. Gruber, Fabio Votta · 1 voice
Computer Science · #Topic Modeling

paper · doi:10.31219/osf.io/s7qx2

openalex publication_date 2024/09/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/15

Abstract

Large Language Models (LLMs) represent a significant advancement for the field of political communication. Their capabilities for the study of language vastly surpass previous approaches, enabling a wider and more generalized array of applications. The introduction of models like BERT revolutionized political communication research by enhancing the accuracy of text classification tasks. However, it was the release of ChatGPT that captured widespread public attention, establishing LLMs as a cornerstone of artificial intelligence in public perception.This entry examines the role of LLMs in political communication research, tracing their development, key concepts, and discussing opportunities and challenges. LLMs can reduce costs while improving accuracy compared to traditional methods of content analysis. Generative LLMs (gLLMs), such as those developed by OpenAI, have pushed the boundaries of text understanding and generation. Besides these advancements, significant concerns remain regarding biases, reproducibility, and ethical considerations. Addressing these challenges is crucial for harnessing the potential of LLMs.

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