Skip to main content
Consumer Behavior

Navigating Consumer Sentiment: Exploring Opinions on AI-Generated Content Across Domains

Authors
  • Divya Manoj (Indiana University)
  • Garim Lee orcid logo (Indiana University)

Abstract

Generative AI is transforming the way consumer-facing content is produced and thus impacting not only the fashion realm but also various industries and consumer environments. According to the literature on source effect (Verlegh et al., 2005), AI as a source of inspiration for creating content may affect consumer opinions in various ways. Therefore, the purpose of this study is to advance the understanding of consumer opinions about AI-generated content by analyzing people’s discussions about AI content online using web scraping and sentiment analysis. The following research questions are specifically answered: What are the major sentiments of the consumer opinions about AI-generated content? (RQ1); How do the major sentiments of the consumer opinions differ depending on domain areas? (RQ2)

Keywords: generative AI, AI content creation, sentiment analysis

How to Cite:

Manoj, D. & Lee, G., (2025) “Navigating Consumer Sentiment: Exploring Opinions on AI-Generated Content Across Domains”, International Textile and Apparel Association Annual Conference Proceedings 81(1). doi: https://doi.org/10.31274/itaa.18832

392 Views

111 Downloads

Published on
2025-01-19

Peer Reviewed