Leveraging Generative AI for Content Analysis
Chris J. Vargo · 2024
This chapter explores the application of generative AI, particularly large language models (LLMs), to content analysis, emphasizing their role in understanding and categorizing complex data sets. It discusses the training and capabilities of models like GPT-4 and introduces practical approaches for leveraging these technologies in academic research. Through detailed examples, the chapter demonstrates how to use LLMs for tasks such as classifying news articles according to predefined taxonomies and extracting thematic elements from unstructured data. It also addresses the importance of human oversight in refining AI outputs, ensuring the reliability and accuracy of the analysis.