Identifying artificial intelligence–generated content in online Q&A communities through interpretable machine learning
Journal of Information Science
Published online on October 30, 2024
Abstract
Journal of Information Science, Ahead of Print.
This study aims to construct a comprehensive feature system for identifying artificial intelligence–generated content (AIGC) in online Q&A communities, thus uncovering the key factors and mechanisms influencing the identification of AIGC. First, based on ...
This study aims to construct a comprehensive feature system for identifying artificial intelligence–generated content (AIGC) in online Q&A communities, thus uncovering the key factors and mechanisms influencing the identification of AIGC. First, based on ...