Can Techniques Be Developed So That Genre Can Be Ignored in the Experimental Design
Abstract
This chapter discusses Kestemont’s unmasking technique for authorship verification across genres. Other studies that work on closely related techniques are shown. The strengths and weaknesses of these studies are gone over. Stamatatos and other studies that work on cross-genre authorship are discussed. Some PAN 2015 and PAN 2026 results are presented. Many other studies that try to ignore genre in their experimental design with poor results are discussed. The point is made that genre will never be able to be ignored in non-traditional authorship attribution studies.
Fields of Study & Subjects
Authorship Attribution and Profiling
User Authentication and Security Systems
Discourse Analysis in Language Studies
Publication details
- Journal / source
- Routledge eBooks
- Pages
- 77–88
- Publication date
- 26 February 2026
- Language
- EN
- Document type
- Book chapter