Author Name

Research on authorship focuses on identifying, representing, and disambiguating authors across various contexts, including literary analysis, collaborative projects, and academic publishing. Current efforts utilize deep learning models, such as variational information bottleneck architectures, and leverage techniques like stylometry and graph-based methods to analyze writing style, co-authorship networks, and publication metadata for improved author identification and disambiguation. This research is crucial for enhancing the accuracy of scholarly databases, protecting author privacy in online contexts, and understanding the dynamics of collaborative authorship in the age of AI-assisted writing.