Who Are You, Elena Ferrante? A Computational Authorship Analysis via Clustering and Unmasking Methods

ACL ARR 2025 May Submission879 Authors

Abstract: The aim of the current paper is to bring a contribution to the ongoing debate regarding the true identity of the author behind the pen name Elena Ferrante using stylometric methods that have not been applied to this problem before. The two main methods we use were hierarchical clustering based on rank distance and umasking. All experiments pointed towards Domenico Starnone as the author behind the Ferrante corpus, aligning with previous research.

Paper Type: Long

Research Area: Sentiment Analysis, Stylistic Analysis, and Argument Mining

Research Area Keywords: style analysis, linguistic theories

Contribution Types: Reproduction study, Data analysis

Languages Studied: Italian

Keywords: style analysis

Submission Number: 879